Triple
T11061625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biliran |
E261520
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Maripipi |
E342594
|
NE FINISHED |
How this triple was built (2 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: Maripipi | Statement: [Biliran, hasMunicipality, Maripipi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maripipi Context triple: [Biliran, hasMunicipality, Maripipi]
-
A.
Maripipi
chosen
Maripipi is a small island municipality in the province of Biliran in the Eastern Visayas region of the Philippines, known for its coastal communities and scenic marine environment.
-
B.
Piripiri
Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
-
C.
Pipiriki
Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
-
D.
Kokovoko
Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
-
E.
Paupisi
Paupisi is a small Italian municipality located in the Campania region, known for its rural character and proximity to the city of Benevento.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.