Triple
T22934811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaue |
E569551
|
entity |
| Predicate | nearbyMunicipality |
P4647
|
FINISHED |
| Object |
Lagawe
Lagawe is a landlocked municipality in Ifugao province in the Philippines, known as the provincial capital and a gateway to the region’s famed rice terraces.
|
E1562418
|
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: Lagawe | Statement: [Banaue, nearbyMunicipality, Lagawe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagawe Context triple: [Banaue, nearbyMunicipality, Lagawe]
-
A.
Bajan
Bajan is an English-based creole language spoken primarily in Barbados, characterized by its unique Caribbean vocabulary, pronunciation, and grammar.
-
B.
Bodden Town
Bodden Town is a historic coastal district and former capital on Grand Cayman in the Cayman Islands, known for its heritage sites and quiet residential character.
-
C.
Darien
Darien is a character in the Disney Channel series "K.C. Undercover" who serves as a romantic interest for the teenage spy K.C. Cooper.
-
D.
Darien
Darien is a small village located in Walworth County, Wisconsin, known for its rural character and agricultural surroundings.
-
E.
Darien
Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
- 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: Lagawe Triple: [Banaue, nearbyMunicipality, Lagawe]
Generated description
Lagawe is a landlocked municipality in Ifugao province in the Philippines, known as the provincial capital and a gateway to the region’s famed rice terraces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagawe Target entity description: Lagawe is a landlocked municipality in Ifugao province in the Philippines, known as the provincial capital and a gateway to the region’s famed rice terraces.
-
A.
Bajan
Bajan is an English-based creole language spoken primarily in Barbados, characterized by its unique Caribbean vocabulary, pronunciation, and grammar.
-
B.
Bodden Town
Bodden Town is a historic coastal district and former capital on Grand Cayman in the Cayman Islands, known for its heritage sites and quiet residential character.
-
C.
Darien
Darien is a character in the Disney Channel series "K.C. Undercover" who serves as a romantic interest for the teenage spy K.C. Cooper.
-
D.
Darien
Darien is a small village located in Walworth County, Wisconsin, known for its rural character and agricultural surroundings.
-
E.
Darien
Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc24ea8bc8190bb7cb6e9475d6641 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc3dea31c8190ab517e43c9061eec |
completed | May 19, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc46fd3d0819094a532a8d6a0b9b2 |
completed | May 19, 2026, 2:01 a.m. |
Created at: April 17, 2026, 3:44 p.m.