Triple

T13573000
Position Surface form Disambiguated ID Type / Status
Subject Creusa E324210 entity
Predicate abandonedChild P28740 FINISHED
Object Ion (as an infant) 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: Ion (as an infant) | Statement: [Creusa, abandonedChild, Ion (as an infant)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: abandonedChild
Context triple: [Creusa, abandonedChild, Ion (as an infant)]
  • A. abandonedIn
    Indicates that one entity was left behind or deserted in the location or context specified by another entity.
  • B. abandonedBy chosen
    Indicates that one entity has been deserted, forsaken, or left behind by another entity that was previously present, responsible, or involved.
  • C. adoptiveChild
    Indicates that one entity is the child of another through legal adoption rather than biological descent.
  • D. featuresChildAbduction
    Indicates that an event, situation, or narrative involves the abduction or kidnapping of a child as a central or notable element.
  • E. fosterChild
    Indicates a relationship where one person is the child being cared for and raised by foster parents who are not their biological or legal parents.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.