Triple

T16122553
Position Surface form Disambiguated ID Type / Status
Subject Clinic E391182 entity
Predicate hasMember P10 FINISHED
Object Hartley unclear NED1 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: Hartley | Statement: [Clinic, hasMember, Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartley
Context triple: [Clinic, hasMember, Hartley]
  • A. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • B. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • C. Hartley
    Hartley is a village in north-west Kent, England, known for its rural character and residential communities within commuting distance of London.
  • D. Murston
    Murston is a locality within the Swale district of Kent, England, historically associated with brickmaking and now largely a residential suburb.
  • E. Ainslie
    Ainslie is a residential suburb in Canberra, Australia, known for its leafy streets, heritage homes, and proximity to bushland and central city amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202027e78819091192aa62aedde13 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a7fe308190a9a2ef7815e788c6 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.