Triple

T21716446
Position Surface form Disambiguated ID Type / Status
Subject Casita E536042 entity
Predicate affectedSettlement P8239 FINISHED
Object Posoltega NE NERFINISHED

How this triple was built (3 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: Posoltega | Statement: [Casita, affectedSettlement, Posoltega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posoltega
Context triple: [Casita, affectedSettlement, Posoltega]
  • A. Posoltega chosen
    Posoltega is a municipality in western Nicaragua known for its agricultural economy and its location near the active Casita volcano.
  • B. Montepeloso
    Montepeloso is the historical name of the town now known as Irsina, located in the Basilicata region of southern Italy.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Pinoso
    Pinoso is a municipality in the province of Alicante, Spain, known for its wine production, marble quarries, and traditional rural character.
  • E. Ponteceso
    Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectedSettlement
Context triple: [Casita, affectedSettlement, Posoltega]
  • A. numberOfAffectedSettlements
    Indicates the count of distinct settlements that are impacted by a particular event, condition, or action.
  • B. settlementEffect
    Indicates the impact or consequences that a particular settlement (such as a legal, financial, or dispute resolution agreement) has on the involved parties or situation.
  • C. associatedWithSettlement chosen
    Indicates a relationship where an entity is linked or connected to a particular settlement, such as a town, village, or city.
  • D. otherSettlement
    Indicates that one settlement is another, different settlement distinct from the primary or reference settlement.
  • E. lostSettlement
    Indicates that a settlement previously possessed by an entity has been relinquished or is no longer under that entity’s control.
  • F. None of above.

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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e6969725bc81908e7ad19619ba2688 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:47 p.m.