Triple
T747561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olosega |
E15376
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Olosega village |
E15376
|
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: Olosega village | Statement: [Olosega, hasSettlement, Olosega village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olosega village Context triple: [Olosega, hasSettlement, Olosega village]
-
A.
Kidani Village
Kidani Village is a Disney Vacation Club resort area themed after an African village, featuring savanna-view accommodations and cultural theming adjacent to Disney’s Animal Kingdom.
-
B.
Village of Darien
The Village of Darien is a suburban municipality in DuPage County, Illinois, located in the Chicago metropolitan area.
-
C.
Dennis Village
Dennis Village is a historic seaside village and one of the five main villages that make up the town of Dennis on Cape Cod, Massachusetts.
-
D.
Olosega
chosen
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e664e4819081badaf0ba0d86e5 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.