Triple

T20314984
Position Surface form Disambiguated ID Type / Status
Subject Reading urban area E510355 entity
Predicate hasSettlement P1068 FINISHED
Object Tilehurst NE NERFINISHED

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: Tilehurst | Statement: [Reading urban area, hasSettlement, Tilehurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilehurst
Context triple: [Reading urban area, hasSettlement, Tilehurst]
  • A. Tilehurst chosen
    Tilehurst is a suburban area and former village on the western edge of Reading in Berkshire, England, known for its residential character and proximity to the River Thames.
  • B. Greenhills
    Greenhills is a major commercial and shopping complex in San Juan, Metro Manila, known for its vast array of retail stalls, bargain goods, and electronics.
  • C. Greenhills
    Greenhills is a suburban area in Dublin, Ireland, known for its residential character and local amenities.
  • D. Turnham Green
    Turnham Green is an area in west London, England, known historically as a village green and now as a residential district within the London Borough of Hounslow.
  • E. The Tower Hills
    The Tower Hills are a range of western Eriadoran highlands in J.R.R. Tolkien’s Middle-earth, notable for their ancient Elven towers and their role as a vantage point overlooking the Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.