Triple
T5852714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M27 motorway |
E130073
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Whiteley
Whiteley is a modern residential and commercial development in Hampshire, England, known for its shopping centre and proximity to major transport links.
|
E550173
|
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: Whiteley | Statement: [M27 motorway, passesNear, Whiteley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whiteley Context triple: [M27 motorway, passesNear, Whiteley]
-
A.
Whiteley
Whiteley is a surname of English origin borne by various notable individuals across fields such as acting, art, and business.
-
B.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
C.
Whalley
Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
-
D.
Ladywell
Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
E.
Ladywell
Ladywell is a residential district in the London Borough of Lewisham, known for its local high street, green spaces, and commuter rail links into central London.
- 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: Whiteley Triple: [M27 motorway, passesNear, Whiteley]
Generated description
Whiteley is a modern residential and commercial development in Hampshire, England, known for its shopping centre and proximity to major transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whiteley Target entity description: Whiteley is a modern residential and commercial development in Hampshire, England, known for its shopping centre and proximity to major transport links.
-
A.
Whiteley
Whiteley is a surname of English origin borne by various notable individuals across fields such as acting, art, and business.
-
B.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
C.
Whalley
Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
-
D.
Ladywell
Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
E.
Ladywell
Ladywell is a residential district in the London Borough of Lewisham, known for its local high street, green spaces, and commuter rail links into central London.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355038008190bf38980349b533e2 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b8f8508190942ce1725884d254 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a30d66088190b6e37a95527b273d |
completed | March 23, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a364931c81908d595d74cb4f9a7b |
completed | March 23, 2026, 2:20 a.m. |
Created at: March 22, 2026, 3:55 p.m.