Triple

T2499591
Position Surface form Disambiguated ID Type / Status
Subject Wythenshawe E52431 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Northern Moor E36649 NE FINISHED

How this triple was built (2 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: Northern Moor | Statement: [Wythenshawe, hasNeighbourhood, Northern Moor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Moor
Context triple: [Wythenshawe, hasNeighbourhood, Northern Moor]
  • A. Northern Moor chosen
    Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
  • B. Urra Moor
    Urra Moor is a prominent upland area in North Yorkshire, England, known for its expansive heather moorland and far-reaching views across the North York Moors National Park.
  • C. Biddulph Moor
    Biddulph Moor is a rural village and upland area in Staffordshire, England, known for its elevated moorland landscape and views over the surrounding countryside.
  • D. Dark Peak moorlands
    The Dark Peak moorlands are a high, rugged expanse of peat bogs and heather-clad uplands forming the wild, northern gritstone heart of England’s Peak District.
  • E. Margam Moors
    Margam Moors is a coastal industrial and wetland area in Neath Port Talbot, South Wales, known for its heavy industry, energy facilities, and ecological significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.