Triple

T10711167
Position Surface form Disambiguated ID Type / Status
Subject Lucius Cornelius E252538 entity
Predicate primaryBuildingFunction P24491 FINISHED
Object official records office 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: official records office | Statement: [Lucius Cornelius, primaryBuildingFunction, official records office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryBuildingFunction
Context triple: [Lucius Cornelius, primaryBuildingFunction, official records office]
  • A. publicBuilding chosen
    Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
  • B. primaryLandUse
    Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
  • C. formerPrimaryUse
    Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
  • D. primaryArchitecture
    Indicates that one entity serves as the main or predominant architectural style, structure, or design associated with another entity.
  • E. primaryHumanUse
    Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe523de08190a82c8f057fe8baf6 completed April 9, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69d6f30455888190b77f476b8418eaee completed April 9, 2026, 12:29 a.m.
Created at: April 8, 2026, 9:13 p.m.