Triple
T7318382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Market Square |
E168471
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object |
Hockley
Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
|
E674969
|
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: Hockley | Statement: [Old Market Square, hasNearbyArea, Hockley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hockley Context triple: [Old Market Square, hasNearbyArea, Hockley]
-
A.
Hockley
Hockley is a village in Essex, England, known for its residential character and rail links to London and Southend.
-
B.
Hendon
Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
-
C.
Hendon
Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
-
D.
Hendon
Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
-
E.
Knaphill
Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
- 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: Hockley Triple: [Old Market Square, hasNearbyArea, Hockley]
Generated description
Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hockley Target entity description: Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
-
A.
Hockley
Hockley is a village in Essex, England, known for its residential character and rail links to London and Southend.
-
B.
Hendon
Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
-
C.
Hendon
Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
-
D.
Hendon
Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
-
E.
Knaphill
Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef18b7bc81908a9ee405d684f304 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86130228c819098544e5354c31b44 |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c862677e008190928ac5b4a47906fc |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8630fe8608190afc7b67d9a80240b |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:02 p.m.