Triple
T342339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leven |
E6862
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fife |
E1387
|
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: Fife | Statement: [Leven, locatedIn, Fife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fife Context triple: [Leven, locatedIn, Fife]
-
A.
Fife
chosen
Fife is a historic council area and peninsula on Scotland’s east coast, known for its coastal towns, medieval heritage, and the university city of St Andrews.
-
B.
Stirlingshire
Stirlingshire is a historic county in central Scotland centered on the city of Stirling, known for its strategic location and rich medieval and early modern history.
-
C.
Ayrshire
Ayrshire is a historic county and coastal region in southwest Scotland known for its agriculture, seaside towns, and associations with poet Robert Burns.
-
D.
Dunfermline
Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
-
E.
Brechin
Brechin is a historic town in eastern Scotland known for its medieval cathedral and one of the few surviving round towers in the country.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eafef8c88190a5932eb2c6ac4a5d |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a424e0d88190b0ad5d0827b762ae |
completed | March 1, 2026, 8:40 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.