Triple
T18744910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulu |
E458383
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kalingalan Caluang
Kalingalan Caluang is a coastal municipality located in the province of Sulu in the southern Philippines.
|
E1339568
|
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: Kalingalan Caluang | Statement: [Sulu, hasMunicipality, Kalingalan Caluang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalingalan Caluang Context triple: [Sulu, hasMunicipality, Kalingalan Caluang]
-
A.
Cala-agus
Cala-agus is a barangay (village-level administrative division) of the municipality of Dumalag in the Philippines.
-
B.
Lagangilang
Lagangilang is a rural municipality in the province of Abra in the Cordillera region of the Philippines, known for its agricultural landscape and mountainous surroundings.
-
C.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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: Kalingalan Caluang Triple: [Sulu, hasMunicipality, Kalingalan Caluang]
Generated description
Kalingalan Caluang is a coastal municipality located in the province of Sulu in the southern Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalingalan Caluang Target entity description: Kalingalan Caluang is a coastal municipality located in the province of Sulu in the southern Philippines.
-
A.
Cala-agus
Cala-agus is a barangay (village-level administrative division) of the municipality of Dumalag in the Philippines.
-
B.
Lagangilang
Lagangilang is a rural municipality in the province of Abra in the Cordillera region of the Philippines, known for its agricultural landscape and mountainous surroundings.
-
C.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57691c8688190b225cbd88493d9d1 |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053267cf6c8190be105bc4a00d58ef |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a05333ba5ac81908a09a93ce00ff1a9 |
completed | May 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0533d4783c8190a29da50953580177 |
completed | May 14, 2026, 2:30 a.m. |
Created at: April 10, 2026, 11:51 a.m.