Triple
T1344639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Govan High School |
E28541
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Govan |
E60687
|
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: Govan | Statement: [Govan High School, locatedIn, Govan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Govan Context triple: [Govan High School, locatedIn, Govan]
-
A.
Govan
chosen
Govan is a historic district on the River Clyde in Glasgow, Scotland, traditionally known for its shipbuilding industry and working-class roots.
-
B.
Motherwell
Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
-
C.
Bishopston
Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
-
D.
Hillington
Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
-
E.
Coatbridge
Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23d696c8190bb688274280cb680 |
completed | March 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc6351cbc81909e2ffc692ee92b54 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:56 p.m.