Triple
T12724234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abra |
E304062
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Licuan-Baay
Licuan-Baay is a rural municipality in the province of Abra in the Cordillera region of the Philippines, known for its mountainous terrain and indigenous communities.
|
E1001635
|
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: Licuan-Baay | Statement: [Abra, hasMunicipality, Licuan-Baay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Licuan-Baay Context triple: [Abra, hasMunicipality, Licuan-Baay]
-
A.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
B.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
C.
Tanauan
Tanauan is a city in the Calabarzon region of the Philippines known for its growing industrial zones and proximity to Metro Manila.
-
D.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
E.
Dauis
Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
- 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: Licuan-Baay Triple: [Abra, hasMunicipality, Licuan-Baay]
Generated description
Licuan-Baay is a rural municipality in the province of Abra in the Cordillera region of the Philippines, known for its mountainous terrain and indigenous communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Licuan-Baay Target entity description: Licuan-Baay is a rural municipality in the province of Abra in the Cordillera region of the Philippines, known for its mountainous terrain and indigenous communities.
-
A.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
B.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
C.
Tanauan
Tanauan is a city in the Calabarzon region of the Philippines known for its growing industrial zones and proximity to Metro Manila.
-
D.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
E.
Dauis
Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e61e7081908dec7958e8bc1125 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:25 p.m.