Triple

T36191200
Position Surface form Disambiguated ID Type / Status
Subject Lalitha Devi E1046992 entity
Predicate hasNameInPalace P200156 FINISHED
Object Lalitha Mahal NE NERFINISHED

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: Lalitha Mahal | Statement: [Lalitha Devi, hasNameInPalace, Lalitha Mahal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInPalace
Context triple: [Lalitha Devi, hasNameInPalace, Lalitha Mahal]
  • A. hasCrownName
    Indicates that an entity possesses or is identified by a specific crown name, typically used as an official or regal title.
  • B. hasRoyalNameElement
    Indicates that an entity’s name includes a component that is associated with royalty or a royal title.
  • C. associatedWithPalace
    Indicates a relationship where an entity has a connection, link, or involvement with a palace, such as through location, function, ownership, or affiliation.
  • D. hasRoyalFavourite
    Indicates that one entity is the person specially favored or preferred by a royal figure.
  • E. hasNameInscribed
    Indicates that an entity bears another entity’s name physically inscribed on its surface.
  • F. None of above. chosen

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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff779e3f0c8190a861f1e4000fd9d9 completed May 9, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69ff77202638819086e4b9f9c0bc7b31 completed May 9, 2026, 6:04 p.m.
PDg Predicate description generation batch_69ff779d3d788190af5a2dbc4d7ca3c8 completed May 9, 2026, 6:06 p.m.
Created at: May 3, 2026, 4:08 p.m.