Triple
T6130427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M66 motorway |
E136702
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Pilsworth
Pilsworth is an area in Greater Manchester, England, known for its retail and commercial developments and proximity to major transport routes.
|
E570676
|
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: Pilsworth | Statement: [M66 motorway, passesNear, Pilsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilsworth Context triple: [M66 motorway, passesNear, Pilsworth]
-
A.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
B.
Pennyville
Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
-
C.
Peebles
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
-
D.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
-
E.
Malpas
Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
- 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: Pilsworth Triple: [M66 motorway, passesNear, Pilsworth]
Generated description
Pilsworth is an area in Greater Manchester, England, known for its retail and commercial developments and proximity to major transport routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilsworth Target entity description: Pilsworth is an area in Greater Manchester, England, known for its retail and commercial developments and proximity to major transport routes.
-
A.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
B.
Pennyville
Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
-
C.
Peebles
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
-
D.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
-
E.
Malpas
Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4de9c48190b98f67a6251ec1df |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135d080808190938e3a1095080850 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c137c122d4819089c6ffc2e0cbaf54 |
completed | March 23, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:15 p.m.