Triple

T29079681
Position Surface form Disambiguated ID Type / Status
Subject Bana-Mighdall E733936 entity
Predicate geographicLocationInFiction P49286 FINISHED
Object hidden city in the Middle East 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: hidden city in the Middle East | Statement: [Bana-Mighdall, geographicLocationInFiction, hidden city in the Middle East]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicLocationInFiction
Context triple: [Bana-Mighdall, geographicLocationInFiction, hidden city in the Middle East]
  • A. basedInFictionalWorkLocation
    Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
  • B. basedInFictionalLocation chosen
    Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
  • C. fictionalLocationAssociatedWith
    Indicates a relationship where a fictional entity (such as a character, event, or work) is connected to or set in a particular fictional location.
  • D. locatedNearFiction
    Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
  • E. notableFictionalLocationIn
    Indicates that a fictional location is notably situated within or strongly associated with a particular larger place or setting.
  • 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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 28, 2026, 10:53 a.m.