Triple
T9140622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teesside urban area |
E219315
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Yarm
Yarm is a historic market town in North Yorkshire, England, known for its Georgian architecture and position on the River Tees.
|
E780654
|
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: Yarm | Statement: [Teesside urban area, hasTown, Yarm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yarm Context triple: [Teesside urban area, hasTown, Yarm]
-
A.
Keyworth
Keyworth is a large village in Nottinghamshire, England, functioning as a commuter settlement near Nottingham with local amenities and community facilities.
-
B.
Haltwhistle
Haltwhistle is a small town in Northumberland, England, known as a gateway to Hadrian’s Wall and the surrounding Tyne Valley countryside.
-
C.
Hotten
Hotten is an English surname most notably associated with Victorian-era publisher and bibliographer John Camden Hotten.
-
D.
Dezful
Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
-
E.
Whitehaven
Whitehaven is a residential neighborhood in South Memphis, Tennessee, best known as the location of Elvis Presley’s Graceland estate.
- 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: Yarm Triple: [Teesside urban area, hasTown, Yarm]
Generated description
Yarm is a historic market town in North Yorkshire, England, known for its Georgian architecture and position on the River Tees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yarm Target entity description: Yarm is a historic market town in North Yorkshire, England, known for its Georgian architecture and position on the River Tees.
-
A.
Keyworth
Keyworth is a large village in Nottinghamshire, England, functioning as a commuter settlement near Nottingham with local amenities and community facilities.
-
B.
Haltwhistle
Haltwhistle is a small town in Northumberland, England, known as a gateway to Hadrian’s Wall and the surrounding Tyne Valley countryside.
-
C.
Hotten
Hotten is an English surname most notably associated with Victorian-era publisher and bibliographer John Camden Hotten.
-
D.
Dezful
Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
-
E.
Whitehaven
Whitehaven is a residential neighborhood in South Memphis, Tennessee, best known as the location of Elvis Presley’s Graceland estate.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f2537881908956a9b0516e2d49 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0480ee2f081908ed98844784e465c |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d04935d4e88190acb4d65a2dc2bc8a |
completed | April 3, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049e6c4cc81909e08b5aaed9a88dc |
completed | April 3, 2026, 11:14 p.m. |
Created at: March 30, 2026, 7:19 p.m.