Triple

T9318141
Position Surface form Disambiguated ID Type / Status
Subject Cu Chi District E224173 entity
Predicate warLegacy P88059 FINISHED
Object remnants of military installations 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: remnants of military installations | Statement: [Cu Chi District, warLegacy, remnants of military installations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: warLegacy
Context triple: [Cu Chi District, warLegacy, remnants of military installations]
  • A. warCustom
    Indicates a relationship in which one party engages in or applies a particular war-related practice, norm, or customary way of conducting warfare toward or involving another.
  • B. battleStarsWorldWarII
    Indicates that the entity has received battle stars for participation in World War II military operations.
  • C. warFrontDepicted
    Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
  • D. warAim
    Indicates the strategic objective or intended outcome that a party seeks to achieve through engaging in war or armed conflict.
  • E. warPeriod
    Indicates a time span during which a state of war or armed conflict is ongoing between parties.
  • F. None of above. chosen

Provenance (4 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
PD Predicate disambiguation batch_69cc7a61e9a4819096eb014f3791ef2e completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc955a38108190b602d1e73725f11b completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:38 p.m.