Triple

T261322
Position Surface form Disambiguated ID Type / Status
Subject The Hague E5547 entity
Predicate locatedIn P40 FINISHED
Object South Holland E13536 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: South Holland | Statement: [The Hague, locatedIn, South Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Holland
Context triple: [The Hague, locatedIn, South Holland]
  • A. South Holland chosen
    South Holland is a densely populated coastal province in the western Netherlands that includes major cities such as The Hague and Rotterdam and hosts numerous international institutions.
  • B. North Holland
    North Holland is a province in the western Netherlands known for encompassing the national capital, Amsterdam, as well as historic towns and North Sea coastline.
  • C. Midlands
    The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
  • D. Holland, Michigan
    Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
  • E. Chatham-Kent
    Chatham-Kent is a single-tier municipality in southwestern Ontario, Canada, known for its agricultural economy and location along the Thames River and Lake Erie.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d7428dc8190ae12b12a21fcc6cb completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a383773dc481908aeb9eaa09f8467f completed March 1, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.