Triple

T28324578
Position Surface form Disambiguated ID Type / Status
Subject Liaodong campaign against Gongsun Yuan E717370 entity
Predicate opponentStatus P58158 FINISHED
Object semi-independent warlord 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: semi-independent warlord | Statement: [Liaodong campaign against Gongsun Yuan, opponentStatus, semi-independent warlord]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opponentStatus
Context triple: [Liaodong campaign against Gongsun Yuan, opponentStatus, semi-independent warlord]
  • A. opponentState
    Indicates the condition or status that an opposing party or competitor is currently in within a given context or interaction.
  • B. opposingForcesStatus
    Indicates the current state or condition of two or more forces that are in conflict or opposition to each other.
  • C. playerStatus
    Indicates the current state or condition of a player within a game or system, such as their activity, health, or participation status.
  • D. oppositionStatus
    Indicates that one entity’s stance, condition, or role is characterized by being against, resisting, or in conflict with another entity, proposal, or situation.
  • E. opponentInScenario chosen
    Indicates that one entity is an adversary or rival of another within a specific scenario, context, or situation.
  • 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_69eff6e6c3b08190ad78de6ba7f04548 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 12:27 a.m.