Triple
T7810680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatburn |
E180672
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Chatburn |
E180672
|
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: Chatburn | Statement: [Chatburn, civilParish, Chatburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chatburn Context triple: [Chatburn, civilParish, Chatburn]
-
A.
Chatburn
chosen
Chatburn is a small village and civil parish in Lancashire, England, situated near Clitheroe in the Ribble Valley.
-
B.
Churt
Churt is a village and civil parish in Surrey, England, known for its rural setting on the edge of the Surrey Hills near the Hampshire border.
-
C.
Closeburn
Closeburn is a historic area in Dumfries and Galloway, Scotland, traditionally associated with the lands of Clan Kirkpatrick.
-
D.
Chotiner
Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
-
E.
Ya Burnt
"Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14651d488190b1bf6b875a2ebccd |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:37 p.m.