Triple

T8339142
Position Surface form Disambiguated ID Type / Status
Subject Jaipur State E195865 entity
Predicate hasCapitalPredecessor P14662 FINISHED
Object Amber E281917 NE FINISHED

How this triple was built (3 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: Amber | Statement: [Jaipur State, hasCapitalPredecessor, Amber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amber
Context triple: [Jaipur State, hasCapitalPredecessor, Amber]
  • A. Amber chosen
    Amber is a historic town near Jaipur in Rajasthan, India, renowned for its hilltop Amber Fort and rich Rajput architectural heritage.
  • B. Amber
    Amber is a feminine given name derived from the English word for the fossilized tree resin, often associated with a warm, golden color.
  • C. Amber
    Amber is a character from the film "Green Room," a tense horror-thriller about a punk band trapped in a remote venue controlled by violent neo-Nazis.
  • D. Opal
    Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
  • E. Opal
    Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapitalPredecessor
Context triple: [Jaipur State, hasCapitalPredecessor, Amber]
  • A. historicalEntityPredecessor chosen
    Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
  • B. hasHistoricalPrecursor
    Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
  • C. hasCorporateSuccessor
    Indicates that one corporate entity is the legal successor to another, inheriting its rights, obligations, or continuity of business.
  • D. hasSuccessorRegime
    Indicates that one regime follows and replaces another as its direct successor in a sequence of governing authorities.
  • E. hasSuccession
    Indicates that one entity follows or replaces another in a sequence, order, or position, forming a succession relationship between them.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd68e348190a7cb8639a263b50f completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc71a9abc8190881ff73c6fe851cd completed April 2, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69cb70c6d0ec8190acf273b0e007b51a completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:57 p.m.