Triple
T12134962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamboanga del Norte |
E289032
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sindangan
Sindangan is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and growing commercial center.
|
E966441
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sindangan | Statement: [Zamboanga del Norte, hasMunicipality, Sindangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sindangan Context triple: [Zamboanga del Norte, hasMunicipality, Sindangan]
-
A.
Palimbang
Palimbang is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing communities and Moro cultural heritage.
-
B.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
-
C.
Mangkasar
Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
-
D.
Basilan
Basilan is an island province in the southern Philippines known for its predominantly Muslim population, strategic location in the Sulu Archipelago, and history of both cultural diversity and security challenges.
-
E.
Dengkil
Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sindangan Triple: [Zamboanga del Norte, hasMunicipality, Sindangan]
Generated description
Sindangan is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and growing commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sindangan Target entity description: Sindangan is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and growing commercial center.
-
A.
Palimbang
Palimbang is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing communities and Moro cultural heritage.
-
B.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
-
C.
Mangkasar
Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
-
D.
Basilan
Basilan is an island province in the southern Philippines known for its predominantly Muslim population, strategic location in the Sulu Archipelago, and history of both cultural diversity and security challenges.
-
E.
Dengkil
Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68eab98819086a480a90312c3fe |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.