Triple
T2636574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset |
E59760
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Minehead |
E194880
|
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: Minehead | Statement: [Somerset, hasTown, Minehead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minehead Context triple: [Somerset, hasTown, Minehead]
-
A.
Minehead
chosen
Minehead is a coastal town and popular seaside resort on the Bristol Channel in Somerset, England, known for its beach, harbour, and proximity to Exmoor National Park.
-
B.
Torresdale
Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
-
C.
Blackburn
Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
-
D.
Blackburn
Blackburn is a small town in West Lothian, Scotland, known primarily as a residential community within the Central Belt.
-
E.
Steel Town
Steel Town is a nickname for Youngstown, Ohio, reflecting its historic role as a major American steel-producing city.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e1fffc81908e4921690098c8db |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b3e9b48190857ae21022a4fb15 |
completed | March 10, 2026, 3:32 a.m. |
Created at: March 6, 2026, 9:50 p.m.