Triple
T23514493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangareva |
E574317
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Taravai |
—
|
NE NERFINISHED |
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: Taravai | Statement: [Mangareva, hasNearbyIsland, Taravai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taravai Context triple: [Mangareva, hasNearbyIsland, Taravai]
-
A.
Taravai
chosen
Taravai is one of the inhabited islands of the Gambier Islands archipelago in French Polynesia, known for its remote location and traditional Polynesian character.
-
B.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
C.
Tarikere
Tarikere is a town in the Chikkamagaluru district of Karnataka, India, known as a regional hub for agriculture and as a gateway to nearby hills, forests, and reservoirs.
-
D.
Tarare
Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
-
E.
Taraval
Taraval is a major east–west street in San Francisco’s Sunset District, known for its residential character and Muni light rail service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.