Triple

T11253423
Position Surface form Disambiguated ID Type / Status
Subject William Lloyd E266377 entity
Predicate placeOfBirth P1 FINISHED
Object Tilehurst E625956 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: Tilehurst | Statement: [William Lloyd, placeOfBirth, Tilehurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilehurst
Context triple: [William Lloyd, placeOfBirth, 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 suburban area in Dublin, Ireland, known for its residential character and local amenities.
  • C. 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.
  • D. Devore Heights
    Devore Heights is a residential community in the foothills of the San Bernardino Mountains in Southern California.
  • E. Kingsbridge Heights
    Kingsbridge Heights is a residential neighborhood in the northwest Bronx of New York City, known for its hilly terrain, diverse community, and proximity to major parks and institutions.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc941d34819099ae30713bdd03e5 completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.