Triple

T597329
Position Surface form Disambiguated ID Type / Status
Subject Boaz E11414 entity
Predicate haveType P16808 FINISHED
Object free-standing column 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: free-standing column | Statement: [Boaz, haveType, free-standing column]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveType
Context triple: [Boaz, haveType, free-standing column]
  • A. hasMaterialType
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • B. hasMemberType
    Indicates that an entity includes or is associated with members belonging to a specified type or category.
  • C. hasTypeOfCase
    Indicates that an entity is associated with or classified under a particular type or category of case.
  • D. hasTypeGenus
    Indicates that one entity is the type genus that formally defines or represents the taxonomic group of the other entity.
  • E. hasPetrovType
    Indicates that an entity (typically a spacetime or gravitational field) is classified as having a specific Petrov type in the Petrov classification of its Weyl tensor.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc4f7d08190990f70b9b3af6ce5 completed March 1, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69a49cf59cd0819084e67981cb371e25 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49dc0e6a08190b81d82a6f2571c41 completed March 1, 2026, 8:12 p.m.
Created at: March 1, 2026, 7:35 p.m.