Triple
T8211845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Black |
E191835
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Grangemouth |
E35492
|
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: Grangemouth | Statement: [Robert Black, placeOfBirth, Grangemouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grangemouth Context triple: [Robert Black, placeOfBirth, Grangemouth]
-
A.
Grangemouth
chosen
Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
-
B.
Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
-
C.
Peterhead
Peterhead is a coastal town in Aberdeenshire, northeast Scotland, known historically for its fishing industry and maritime heritage.
-
D.
Motherwell
Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
-
E.
Motherwell
Motherwell is a large township in the Eastern Cape province of South Africa, situated within the Nelson Mandela Bay Metropolitan Municipality and known for its dense residential communities and socio-economic challenges.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dec42c819090252fe186a68d34 |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34b49fb88190b30a89d594ed4ada |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:44 p.m.