Triple
T109465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus |
E2212
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Arbroath |
E39252
|
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: Arbroath | Statement: [Angus, containsSettlement, Arbroath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbroath Context triple: [Angus, containsSettlement, Arbroath]
-
A.
Arbroath
chosen
Arbroath is a coastal town in eastern Scotland, historically known for the Declaration of Arbroath and its traditional smoked haddock, Arbroath smokies.
-
B.
Kirkcaldy
Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
-
C.
Dunfermline
Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
-
D.
Dumfries
Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
-
E.
Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ce54b48190a3337f5f45d82859 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b13ea08190940f8998a36d6e4e |
completed | March 1, 2026, 5:03 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.