Triple
T37147424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecclesiastical province of Toulouse |
E920276
|
entity |
| Predicate | hasSuffragan |
P9021
|
FINISHED |
| Object | Diocese of Rodez and Vabres |
E483708
|
NE FINISHED |
How this triple was built (1 step)
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: Diocese of Rodez and Vabres | Statement: [Ecclesiastical province of Toulouse, hasSuffragan, Diocese of Rodez and Vabres]
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb30899618819098b0826c4a544bef |
completed | May 6, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41c263c5e08190a16e1aa1015076dd |
completed | June 29, 2026, 12:54 a.m. |
Created at: May 3, 2026, 4:15 p.m.