Triple

T33026362
Position Surface form Disambiguated ID Type / Status
Subject Lawrence of Arabia Medal E845052 entity
Predicate hasRecipientCriterion P192017 FINISHED
Object significant engagement with the Arab 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: significant engagement with the Arab world | Statement: [Lawrence of Arabia Medal, hasRecipientCriterion, significant engagement with the Arab world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecipientCriterion
Context triple: [Lawrence of Arabia Medal, hasRecipientCriterion, significant engagement with the Arab world]
  • A. hasRecipientRole
    Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
  • B. hasRecipientQuality
    Indicates that a recipient possesses or is characterized by a particular quality or attribute.
  • C. hasEligibleRecipients chosen
    Indicates that an entity has one or more recipients who meet the required criteria to receive a specified benefit, item, or action.
  • D. hasRecipientField
    Indicates that something includes or defines a field intended to specify a recipient.
  • E. hasTypeOfRecipient
    Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
  • 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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0337c7389c8190b71d27b8eb8daf9a completed May 12, 2026, 2:23 p.m.
PD Predicate disambiguation batch_6a0335b7b1588190b02a0ce6a08704aa completed May 12, 2026, 2:14 p.m.
Created at: May 1, 2026, 1:23 a.m.