Triple
T37050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom |
E732
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Edinburgh |
E16616
|
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: Edinburgh | Statement: [United Kingdom, majorCity, Edinburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edinburgh Context triple: [United Kingdom, majorCity, Edinburgh]
-
A.
Edinburgh
chosen
Edinburgh is the historic and cultural heart of Scotland, renowned for its medieval Old Town, elegant Georgian New Town, and world-famous arts festivals.
-
B.
Glasgow
Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
-
C.
St Andrews
St Andrews is a historic coastal town in eastern Scotland renowned for its ancient university and status as the "home of golf."
-
D.
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.
-
E.
Edinburgh Waverley
Edinburgh Waverley is the main railway station in Edinburgh, Scotland, serving as a major hub for intercity and regional rail services across the UK.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24acbb90881908c9f77e74034eb52 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c26f0f208190b407df744062d1f0 |
completed | Feb. 28, 2026, 10:24 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.