Triple
T2210765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverness |
E50911
|
entity |
| Predicate | hasScottishParliamentConstituency |
P20712
|
FINISHED |
| Object | Inverness and Nairn |
E50911
|
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: Inverness and Nairn | Statement: [Inverness, hasScottishParliamentConstituency, Inverness and Nairn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inverness and Nairn Context triple: [Inverness, hasScottishParliamentConstituency, Inverness and Nairn]
-
A.
Inverness
chosen
Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
-
B.
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.
-
C.
Peterhead
Peterhead is a coastal town in Aberdeenshire, northeast Scotland, known historically for its fishing industry and maritime heritage.
-
D.
Galashiels
Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
-
E.
Fife
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.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfeb889081908cddf58a57b216df |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f74880481908ffd16a25792f013 |
completed | March 9, 2026, 7:28 p.m. |
Created at: March 4, 2026, 7:46 p.m.