Triple

T1203100
Position Surface form Disambiguated ID Type / Status
Subject Molesey E25826 entity
Predicate locatedOpposite P3232 FINISHED
Object Hampton E107671 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: Hampton | Statement: [Molesey, locatedOpposite, Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampton
Context triple: [Molesey, locatedOpposite, Hampton]
  • A. Hampton chosen
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • B. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • C. Hampton
    Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
  • D. Portsmouth, Virginia
    Portsmouth, Virginia is an independent port city in southeastern Virginia known for its historic Olde Towne district, naval shipyard, and location across the Elizabeth River from Norfolk.
  • E. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbda0b081909c0147121a945e27 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf379d048190924ad8dfa9ac5e7a completed March 8, 2026, 6:25 p.m.
Created at: March 1, 2026, 7:46 p.m.