Triple
T6426801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeotian League |
E128078
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Lebadea |
E132250
|
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: Lebadea | Statement: [Boeotian League, hasMember, Lebadea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebadea Context triple: [Boeotian League, hasMember, Lebadea]
-
A.
Lebadea
chosen
Lebadea is an ancient town in central Greece, historically known for the Oracle of Trophonius and its location in the region of Boeotia.
-
B.
Lagada
Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
-
C.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
D.
Dovadola
Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
-
E.
Bajada Balta
Bajada Balta is a well-known coastal descent in Lima’s Miraflores district that connects the clifftop area to the Costa Verde beachfront.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06920cef48190a884df8f12987a0d |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e339108190bbb74c688de574cc |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.