Triple

T1970034
Position Surface form Disambiguated ID Type / Status
Subject Northern Moor tram stop E42777 entity
Predicate locatedIn P40 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: [Northern Moor tram stop, locatedIn, Northern Moor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Moor
Context triple: [Northern Moor tram stop, locatedIn, 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. 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.
  • E. Moorlands
    Moorlands is a rural district in Staffordshire, England, characterized by upland countryside, market towns, and parts of the Peak District National Park.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.