Triple

T9869111
Position Surface form Disambiguated ID Type / Status
Subject Arsinoe IV E239908 entity
Predicate afterCapture P90967 FINISHED
Object granted asylum at the Temple of Artemis at Ephesus 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: granted asylum at the Temple of Artemis at Ephesus | Statement: [Arsinoe IV, afterCapture, granted asylum at the Temple of Artemis at Ephesus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterCapture
Context triple: [Arsinoe IV, afterCapture, granted asylum at the Temple of Artemis at Ephesus]
  • A. capturedAfter
    Indicates that one entity is captured at a point in time later than the capture of another entity.
  • B. resultOfCapture
    Indicates that an entity is the outcome or product of a capture event involving another entity.
  • C. afterRelease
    Indicates that one event, action, or state occurs subsequent to the release of another entity or condition.
  • D. capturedAs
    Indicates that one entity has been taken into custody or control by another entity, typically as a prisoner or target.
  • E. capturedDuring
    Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d498b481908f82f31f98b57c7e completed April 2, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd3581a9688190a00cef4c3eebb0ae completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:36 p.m.