Triple
T1138771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlín |
E23399
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Kilmarnock |
E26311
|
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: Kilmarnock | Statement: [Zlín, twinCity, Kilmarnock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilmarnock Context triple: [Zlín, twinCity, Kilmarnock]
-
A.
Kilmarnock
chosen
Kilmarnock is a large town in East Ayrshire, Scotland, historically known for its textile and engineering industries and its association with the poet Robert Burns.
-
B.
Dumbarton
Dumbarton is a historic Scottish town on the River Clyde known for its prominent role in shipbuilding and maritime industry.
-
C.
Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
-
D.
Ayr
Ayr is a coastal town in southwest Scotland known for its historic seafront, links to poet Robert Burns, and role as a regional administrative and commercial center.
-
E.
Inverclyde
Inverclyde is a council area in western Scotland centered on the lower reaches of the River Clyde, known for its historic shipbuilding towns and maritime heritage.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc25dda481909a26d726fdbdbb50 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d73c10c8190a059c3ae6b3a6279 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 1, 2026, 7:44 p.m.