Triple
T3119076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Calder (Lancashire) |
E65135
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Whalley |
E180670
|
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: Whalley | Statement: [River Calder (Lancashire), flowsThrough, Whalley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whalley Context triple: [River Calder (Lancashire), flowsThrough, Whalley]
-
A.
Whalley
chosen
Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
-
B.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
C.
Healey
Healey is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
-
D.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
E.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e975f08190a91a01f37a31b766 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f63f8f881909348d4c6eb3c7e20 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.