Triple
T13067961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilocos Sur |
E329377
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cabugao
Cabugao is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its beaches and agricultural economy.
|
E1020771
|
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: Cabugao | Statement: [Ilocos Sur, hasMunicipality, Cabugao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabugao Context triple: [Ilocos Sur, hasMunicipality, Cabugao]
-
A.
Cabucgayan
Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
-
B.
Cagbang
Cagbang is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Kabugao
Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
D.
Lubuagan
Lubuagan is a landlocked, mountainous municipality in the Philippine province of Kalinga known for its rich indigenous culture and history.
-
E.
Bayongbong
Bayongbong is a district in Garut Regency, West Java, Indonesia, known as one of the main gateway areas for hikers ascending Mount Cikuray.
- 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: Cabugao Triple: [Ilocos Sur, hasMunicipality, Cabugao]
Generated description
Cabugao is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its beaches and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabugao Target entity description: Cabugao is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its beaches and agricultural economy.
-
A.
Cabucgayan
Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
-
B.
Cagbang
Cagbang is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Kabugao
Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
D.
Lubuagan
Lubuagan is a landlocked, mountainous municipality in the Philippine province of Kalinga known for its rich indigenous culture and history.
-
E.
Bayongbong
Bayongbong is a district in Garut Regency, West Java, Indonesia, known as one of the main gateway areas for hikers ascending Mount Cikuray.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 9, 2026, 9 p.m.