Triple

T37897235
Position Surface form Disambiguated ID Type / Status
Subject Siege of Niuzao Temple E945312 entity
Predicate supportsChallenge P204462 FINISHED
Object time-based completion and achievements 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: time-based completion and achievements | Statement: [Siege of Niuzao Temple, supportsChallenge, time-based completion and achievements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsChallenge
Context triple: [Siege of Niuzao Temple, supportsChallenge, time-based completion and achievements]
  • A. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • B. hasChallenge
    Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
  • C. supportsProsecutionIn
    Indicates that an entity provides assistance or backing to the prosecution side within a specified legal case or jurisdiction.
  • D. challengeFor
    Indicates that one entity presents a difficulty, test, or obstacle that must be faced or overcome by another entity.
  • E. supportsReach
    Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
  • 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_69f76ef0e8708190987c7254ed8c7abe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a192a008190a9917688a9e804f4 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c84ecbc81908232e5215355f43b completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:19 p.m.