Triple

T24570010
Position Surface form Disambiguated ID Type / Status
Subject convoy JW 55B E607907 entity
Predicate cargoRecipient P52361 FINISHED
Object Red Army NE NERFINISHED

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: Red Army | Statement: [convoy JW 55B, cargoRecipient, Red Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cargoRecipient
Context triple: [convoy JW 55B, cargoRecipient, Red Army]
  • A. individualRecipient
    Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
  • B. recipientSport
    Indicates that one entity is the sport associated with, received by, or designated for another entity.
  • C. coRecipientWith
    Indicates that two or more entities receive the same item, benefit, or communication together as joint recipients.
  • D. positionOfRecipient
    Indicates the spatial or contextual location associated with the recipient in a given interaction or transfer.
  • E. recipientOf chosen
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from 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_69e2c4cc35a48190990b7571bc086df8 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a923635c819097ecac0c82ec5f29 completed April 30, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:28 a.m.