Triple

T33926803
Position Surface form Disambiguated ID Type / Status
Subject peribolos E869773 entity
Predicate canSurround P7850 FINISHED
Object altar 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: altar | Statement: [peribolos, canSurround, altar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canSurround
Context triple: [peribolos, canSurround, altar]
  • A. hasSurroundings
    Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
  • B. surrounds chosen
    Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
  • C. supportsSurroundLayout
    Indicates that one entity provides or enables the use of a surround-style layout configuration for another entity.
  • D. canTarget
    Indicates that one entity is able or permitted to select, aim at, or direct its action or effect toward another entity as a target.
  • E. surroundedOnThreeSidesBy
    Indicates that one entity is positioned so that three of its sides are directly bordered or enclosed by another 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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7064e906881909c3186c646145d34 completed May 3, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69f70100ec1c8190a6b97f50e88891f2 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:49 a.m.