Triple
T15811903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worle railway station |
E383374
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Worle
Worle is a suburban area near Weston-super-Mare in North Somerset, England, known primarily as a residential community with rail links to surrounding regions.
|
E1177840
|
NE FINISHED |
How this triple was built (4 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: Worle | Statement: [Worle railway station, locatedIn, Worle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worle Context triple: [Worle railway station, locatedIn, Worle]
-
A.
Worstead
Worstead is a small rural village and railway stop in Norfolk, England, situated on the Bittern Line between Norwich and the North Norfolk coast.
-
B.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
C.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
-
D.
Shevington
Shevington is a village and civil parish in the Metropolitan Borough of Wigan, Greater Manchester, England.
-
E.
Wardle
Wardle is a village in Greater Manchester, England, known for its moorland surroundings and historic textile industry roots.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Worle Triple: [Worle railway station, locatedIn, Worle]
Generated description
Worle is a suburban area near Weston-super-Mare in North Somerset, England, known primarily as a residential community with rail links to surrounding regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Worle Target entity description: Worle is a suburban area near Weston-super-Mare in North Somerset, England, known primarily as a residential community with rail links to surrounding regions.
-
A.
Worstead
Worstead is a small rural village and railway stop in Norfolk, England, situated on the Bittern Line between Norwich and the North Norfolk coast.
-
B.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
C.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
-
D.
Shevington
Shevington is a village and civil parish in the Metropolitan Borough of Wigan, Greater Manchester, England.
-
E.
Wardle
Wardle is a village in Greater Manchester, England, known for its moorland surroundings and historic textile industry roots.
- F. None of above. chosen
Provenance (5 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52bbb888190b226567e84ced7e9 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9993c86c8190b1d106af7537080a |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a32d6bc81909d8023de562a2517 |
completed | May 9, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9adb25448190b805046ae6c3ee17 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:49 a.m.