Triple

T7604324
Position Surface form Disambiguated ID Type / Status
Subject Billingshurst E180061 entity
Predicate hasPostTown P2711 FINISHED
Object BILLINGSHURST E180061 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: BILLINGSHURST | Statement: [Billingshurst, hasPostTown, BILLINGSHURST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BILLINGSHURST
Context triple: [Billingshurst, hasPostTown, BILLINGSHURST]
  • A. Ashurst
    Ashurst is a given name and surname of English origin, historically borne by various notable figures.
  • B. Hurst
    Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
  • C. Hurst
    Hurst is a suburban city in the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and regional shopping centers.
  • D. Billingshurst chosen
    Billingshurst is a large village and civil parish in the Horsham District of West Sussex, England, known for its historic High Street and role as a local residential and commercial centre.
  • E. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684f3cf08190bc3cbafbd8c1b9a0 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.