Triple

T37554426
Position Surface form Disambiguated ID Type / Status
Subject Hydraxian Waterlords E933660 entity
Predicate reputationCategory P118251 FINISHED
Object Classic factions 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: Classic factions | Statement: [Hydraxian Waterlords, reputationCategory, Classic factions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reputationCategory
Context triple: [Hydraxian Waterlords, reputationCategory, Classic factions]
  • A. reputationBuiltFor
    Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
  • B. denotesReputationOf
    Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
  • C. scopeOfReputation chosen
    Indicates the range or extent within which an entity’s reputation is recognized, relevant, or has effect.
  • D. reputationEffect
    Indicates how one entity’s actions or characteristics influence the perceived reputation or standing of another entity.
  • E. scoringReputation
    Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
  • 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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:17 p.m.