Triple
T809084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackley |
E17502
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object |
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
|
E104744
|
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: Moston | Statement: [Blackley, nearbyArea, Moston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moston Context triple: [Blackley, nearbyArea, Moston]
-
A.
Metford
Metford is a residential suburb in the city of Maitland in the Hunter Region of New South Wales, Australia.
-
B.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Mortain
Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
-
E.
Molesey
Molesey is a suburban town in south-east England situated on the River Thames, known for its proximity to Hampton Court Palace and its residential character within the London commuter belt.
- 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: Moston Triple: [Blackley, nearbyArea, Moston]
Generated description
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moston Target entity description: Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
-
A.
Metford
Metford is a residential suburb in the city of Maitland in the Hunter Region of New South Wales, Australia.
-
B.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Mortain
Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
-
E.
Molesey
Molesey is a suburban town in south-east England situated on the River Thames, known for its proximity to Hampton Court Palace and its residential character within the London commuter belt.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab256cbc8190bf75b5d5e35ff0aa |
completed | March 1, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c00e3fb48190a242264358413b05 |
completed | March 4, 2026, 5:15 a.m. |
| NEDg | Description generation | batch_69a7c088506c81908a9e8ac91cb5b69d |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10b114c8190831a95519dd185a2 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:38 p.m.