Triple
T7891409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taga Taisha |
E183242
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Taga |
E183242
|
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: Taga | Statement: [Taga Taisha, locatedIn, Taga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taga Context triple: [Taga Taisha, locatedIn, Taga]
-
A.
Taga
chosen
Taga is a town in Shiga Prefecture, Japan, known for its historic Taga Taisha shrine and scenic rural surroundings.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Kura
Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
-
E.
Kura
Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ee137081908e87e35016c3a176 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.