Triple
T22472286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Isabel Province |
E555531
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Tirokiaba |
—
|
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: Tirokiaba | Statement: [Santa Isabel Province, hasSettlement, Tirokiaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirokiaba Context triple: [Santa Isabel Province, hasSettlement, Tirokiaba]
-
A.
Tirokiaba
chosen
Tirokiaba is a settlement located on Santa Isabel Island in the Solomon Islands.
-
B.
Tirohanga
Tirohanga is a residential suburb located in the city of Lower Hutt in the Wellington region of New Zealand.
-
C.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
D.
Tendaba
Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
-
E.
Tirgan
Tirgan is an ancient Iranian midsummer festival traditionally celebrating water, rain, and the harvest with feasting, dancing, and outdoor festivities.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be0d3c08190851537660cda619c |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.