Triple
T7600036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moray, Scotland |
E179959
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Cullen |
E55279
|
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: Cullen | Statement: [Moray, Scotland, containsSettlement, Cullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cullen Context triple: [Moray, Scotland, containsSettlement, Cullen]
-
A.
Cullen
chosen
Cullen is a surname of Irish and Scottish origin borne by various notable individuals across politics, sports, and the arts.
-
B.
Callian
Callian is a picturesque commune in southeastern France’s Var department, known for its medieval hilltop village and views over the Pays de Fayence.
-
C.
Curran
Curran is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
-
D.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d7cb288190b40ff5c9a09297d9 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86846192c81909154e6cf60b21157 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:53 p.m.