Triple

T3520518
Position Surface form Disambiguated ID Type / Status
Subject Stateira II E74409 entity
Predicate afterCaptureStatus P13710 FINISHED
Object treated with respect by Alexander 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: treated with respect by Alexander | Statement: [Stateira II, afterCaptureStatus, treated with respect by Alexander]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterCaptureStatus
Context triple: [Stateira II, afterCaptureStatus, treated with respect by Alexander]
  • A. laterStatus chosen
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • B. hasCaptureDate
    Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
  • C. 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.
  • D. acquisitionStatus
    Indicates the current state or outcome of an acquisition process between entities (e.g., pending, completed, failed, or canceled).
  • E. reconstructionStatus
    Indicates the current state or phase of a reconstruction process that an entity is undergoing or has undergone.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69adae10689c8190b7dc6d7daa8295b6 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.