Triple
T18003098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabela Province |
E430675
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cabagan
Cabagan is a municipality in the province of Isabela in the Philippines, known for its rich cultural heritage and local noodle dish called Pancit Cabagan.
|
E1307991
|
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: Cabagan | Statement: [Isabela Province, hasMunicipality, Cabagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabagan Context triple: [Isabela Province, hasMunicipality, Cabagan]
-
A.
Cabatuan
Cabatuan is a municipality in the province of Iloilo in the Philippines, known for its historic church and agricultural economy.
-
B.
Cabatuan
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
-
C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
Cauayan
Cauayan is a rapidly developing component city located in the province of Isabela in the Cagayan Valley region of the 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: Cabagan Triple: [Isabela Province, hasMunicipality, Cabagan]
Generated description
Cabagan is a municipality in the province of Isabela in the Philippines, known for its rich cultural heritage and local noodle dish called Pancit Cabagan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabagan Target entity description: Cabagan is a municipality in the province of Isabela in the Philippines, known for its rich cultural heritage and local noodle dish called Pancit Cabagan.
-
A.
Cabatuan
Cabatuan is a municipality in the province of Iloilo in the Philippines, known for its historic church and agricultural economy.
-
B.
Cabatuan
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
-
C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
Cauayan
Cauayan is a rapidly developing component city located in the province of Isabela in the Cagayan Valley region of the 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3ea60608190b977644e946407b7 |
completed | April 19, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038533279c819082861dfac6f1923e |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a038916bdac8190a8f18c21586d00c5 |
completed | May 12, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03897397cc8190834f18dd15a1c44c |
completed | May 12, 2026, 8:11 p.m. |
Created at: April 10, 2026, 10:23 a.m.