Triple

T38586723
Position Surface form Disambiguated ID Type / Status
Subject Destruction of Theramore by Garrosh Hellscream using a mana bomb E932361 entity
Predicate associatedScenario P115208 FINISHED
Object Theramore’s Fall E2233319 NE 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: Theramore’s Fall | Statement: [Destruction of Theramore by Garrosh Hellscream using a mana bomb, associatedScenario, Theramore’s Fall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedScenario
Context triple: [Destruction of Theramore by Garrosh Hellscream using a mana bomb, associatedScenario, Theramore’s Fall]
  • A. scenarioType
    Indicates the specific category or kind of situation, context, or use case that an entity or event is associated with.
  • B. variantScenario
    Indicates a scenario that represents an alternative, modified, or derived version of another base scenario.
  • C. associatedTale
    Indicates that one entity is linked or connected to a particular tale, story, or narrative.
  • D. hasFormationScenarios
    Indicates that there exist one or more possible processes or scenarios by which the subject entity could have been formed or come into existence.
  • E. narrativeSituation chosen
    Indicates the contextual relationship that defines how events, characters, and perspectives are arranged and presented within a narrative.
  • F. None of above.

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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f43924cc8190b03f5c8d442f4e7f completed June 29, 2026, 4:27 a.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:32 p.m.