Triple
T34169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stafford Smith |
E679
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Gloucester |
E21326
|
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: Gloucester | Statement: [John Stafford Smith, workLocation, Gloucester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloucester Context triple: [John Stafford Smith, workLocation, Gloucester]
-
A.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
B.
Gloucester
chosen
Gloucester is a historic cathedral city and port in southwest England, known for its medieval architecture and role as the county town of Gloucestershire.
-
C.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Swansea
Swansea is a coastal city in South Wales known for its maritime heritage, industrial history, and role as a target during World War II air raids.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e7dd6ee08190a99229eaf0ed2fff |
completed | Feb. 28, 2026, 1:04 p.m. |
Created at: Feb. 28, 2026, 1:44 a.m.