Triple
T1396272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burslem |
E30671
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Tunstall
Tunstall is one of the six towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its pottery industry.
|
E161959
|
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: Tunstall | Statement: [Burslem, hasNeighbour, Tunstall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunstall Context triple: [Burslem, hasNeighbour, Tunstall]
-
A.
Tuncester
Tuncester is a small locality situated within the Mid North Coast region of New South Wales, Australia.
-
B.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
C.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
-
D.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
E.
Cassington
Cassington is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
- 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: Tunstall Triple: [Burslem, hasNeighbour, Tunstall]
Generated description
Tunstall is one of the six towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its pottery industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tunstall Target entity description: Tunstall is one of the six towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its pottery industry.
-
A.
Tuncester
Tuncester is a small locality situated within the Mid North Coast region of New South Wales, Australia.
-
B.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
C.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
-
D.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
E.
Cassington
Cassington is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37fd6e0819084d610ef041db3af |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56e32608190a03485d7cb5941a8 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace6527e088190a1ea0ec178b4e0ce |
completed | March 8, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6b543ec819080a5ddeed0273644 |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:59 p.m.