Triple

T38109538
Position Surface form Disambiguated ID Type / Status
Subject Aguilares E951615 entity
Predicate hasHistoryAspect P99136 FINISHED
Object political conflict LITERAL 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: political conflict | Statement: [Aguilares, hasHistoryAspect, political conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoryAspect
Context triple: [Aguilares, hasHistoryAspect, political conflict]
  • A. hasHistoryIn chosen
    Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
  • B. hasHistoryWith
    Indicates that there is a prior relationship, interaction, or shared past between the entities.
  • C. hasHistorySince
    Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
  • D. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • E. hasHistoryPeriod
    Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
  • 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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ffbb1c5bf88190a0bf791213045885 completed May 9, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69ffba0ab0f881908f84ef81f7a1bfe8 completed May 9, 2026, 10:49 p.m.
Created at: May 3, 2026, 4:21 p.m.