Triple

T20787426
Position Surface form Disambiguated ID Type / Status
Subject La Democracia E511675 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Hattieville NE NERFINISHED

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: Hattieville | Statement: [La Democracia, hasNearbySettlement, Hattieville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hattieville
Context triple: [La Democracia, hasNearbySettlement, Hattieville]
  • A. Hattieville chosen
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • B. Laceyville
    Laceyville is a small borough in northeastern Pennsylvania known for its rural setting along the Susquehanna River.
  • C. Huttonville
    Huttonville is a community in Brampton, Ontario, Canada, historically known as a small rural settlement that lent its name to the nearby Huttonville Creek.
  • D. Wallaceville
    Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
  • E. Temperanceville
    Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28d24708190bf3890a22d1ec4b7 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.