Triple

T3908180
Position Surface form Disambiguated ID Type / Status
Subject Jerusalem cross E87254 entity
Predicate smallCrossesRepresent P52836 FINISHED
Object four corners of the world 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: four corners of the world | Statement: [Jerusalem cross, smallCrossesRepresent, four corners of the world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: smallCrossesRepresent
Context triple: [Jerusalem cross, smallCrossesRepresent, four corners of the world]
  • A. crossesIn
    Indicates that one entity passes over or through the path, boundary, or area occupied by another entity, intersecting its space or trajectory.
  • B. crossesUnder
    Indicates that one entity passes beneath another entity’s path or structure, moving from one side to the other without intersecting it at the same elevation.
  • C. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • D. smallStarsRepresent
    Indicates that small stars are used as symbols or markers to stand for or denote something else.
  • E. crossesTo
    Indicates that one entity moves or extends from one side or area to another, passing over or through some boundary or intervening space.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75cff148190b6d5979d17fae085 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef1aada308190821a3dfa6af170b3 completed March 9, 2026, 4:13 p.m.
Created at: March 9, 2026, 3:22 p.m.