Triple

T26028172
Position Surface form Disambiguated ID Type / Status
Subject Declaration Hall E647347 entity
Predicate originalBuildingOwnerOccupation P22136 FINISHED
Object first mayor of Tel Aviv 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: first mayor of Tel Aviv | Statement: [Declaration Hall, originalBuildingOwnerOccupation, first mayor of Tel Aviv]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalBuildingOwnerOccupation
Context triple: [Declaration Hall, originalBuildingOwnerOccupation, first mayor of Tel Aviv]
  • A. ownerOccupation
    Indicates that the occupation or job role of an entity that owns something is being specified or described.
  • B. originalBuildingType
    Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
  • C. originalBuilding
    Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
  • D. notableOwnerOccupation chosen
    Indicates that the occupation of an owner is particularly notable or significant in the context of the ownership relationship.
  • E. previousBuildingUse
    Indicates that a building previously served a specified use or function before its current one.
  • 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7cec454a88190a9f3bbee2b856636 completed May 3, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f7c8977c288190997a892ec5f756ed completed May 3, 2026, 10:13 p.m.
Created at: April 22, 2026, 9:05 a.m.