Triple

T5519103
Position Surface form Disambiguated ID Type / Status
Subject Haringvliet E144759 entity
Predicate nearCity P350 FINISHED
Object Middelharnis E70502 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: Middelharnis | Statement: [Haringvliet, nearCity, Middelharnis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middelharnis
Context triple: [Haringvliet, nearCity, Middelharnis]
  • A. Middelharnis chosen
    Middelharnis is a town in the western Netherlands known historically as a fishing and agricultural community on the island of Goeree-Overflakkee.
  • B. Middelstum
    Middelstum is a historic village in the Dutch province of Groningen, known for its old churches and traditional architecture.
  • C. Danelaw
    Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
  • D. Ludbreg
    Ludbreg is a small historic town in northern Croatia, often noted for its religious heritage and claim to be the geographic center of the country.
  • E. Oldambt
    Oldambt is a municipality in the northeast of the Netherlands, known for its reclaimed lake Oldambtmeer and its agricultural landscapes.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.