Triple

T30168997
Position Surface form Disambiguated ID Type / Status
Subject Umma E766866 entity
Predicate hasGovernmentBuildingType P171579 FINISHED
Object palace 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: palace | Statement: [Umma, hasGovernmentBuildingType, palace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGovernmentBuildingType
Context triple: [Umma, hasGovernmentBuildingType, palace]
  • A. isGovernmentFacility
    Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
  • B. usesGovernmentBuilding
    Indicates that an entity makes use of a government-owned or government-operated building for some purpose or activity.
  • C. hasGovernmentalBodyType
    Indicates the specific kind or classification of governmental body that an entity possesses or is associated with.
  • D. hasLegislatureBuilding
    Indicates that one entity serves as the official legislature building or physical premises where the legislative body of another entity meets or operates.
  • E. publicBuilding
    Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
  • 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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6a1ac56b88190a820434b65c9fa23 completed May 3, 2026, 1:15 a.m.
PD Predicate disambiguation batch_69f69fe463248190aa78128abeab1183 completed May 3, 2026, 1:07 a.m.
PDg Predicate description generation batch_69f6a0e920cc8190a943fdd0594906c5 completed May 3, 2026, 1:12 a.m.
Created at: April 29, 2026, 7:24 p.m.