Triple
T2679175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecclesia |
E56533
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Boule |
E56534
|
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: Boule | Statement: [Ecclesia, relatedTo, Boule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boule Context triple: [Ecclesia, relatedTo, Boule]
-
A.
Boule
chosen
Boule was the citizen council of Classical Athens responsible for preparing legislation and overseeing the day-to-day administration of the city-state’s government.
-
B.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
C.
Ballomar
Ballomar was a 2nd-century chieftain of the Marcomanni who led major Germanic incursions into the Roman Empire during the Marcomannic Wars.
-
D.
Ball
Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
-
E.
Ball
Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d141888190bbd63e7a2b970fa0 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0681f3c8190898e58f3138b16fa |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.