Triple

T4356767
Position Surface form Disambiguated ID Type / Status
Subject Govoni Field E98166 entity
Predicate city P40 FINISHED
Object Wellesley E60968 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: Wellesley | Statement: [Govoni Field, city, Wellesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wellesley
Context triple: [Govoni Field, city, Wellesley]
  • A. Wellesley
    Wellesley is an Anglo-Irish aristocratic family name most famously borne by Arthur Wellesley, the 1st Duke of Wellington, the British military leader who defeated Napoleon at Waterloo.
  • B. Wellesley, Massachusetts chosen
    Wellesley, Massachusetts is an affluent suburban town west of Boston known for its highly ranked public schools and as the home of Wellesley College.
  • C. Amherst
    Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
  • D. Bryn Mawr
    Bryn Mawr is a residential neighborhood in the city of Yonkers, New York, known for its suburban character and proximity to New York City.
  • E. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c68a588190ba14a298afacb1dc completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e501671c8190bf8a9998f46a9f3b completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:16 p.m.