Triple

T22329262
Position Surface form Disambiguated ID Type / Status
Subject APA E551979 entity
Predicate licenseAwardMethod P147768 FINISHED
Object competitive licensing rounds 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: competitive licensing rounds | Statement: [APA, licenseAwardMethod, competitive licensing rounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licenseAwardMethod
Context triple: [APA, licenseAwardMethod, competitive licensing rounds]
  • A. licenseModel
    Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
  • B. licenseStatus
    Indicates the current state or condition of a license in relation to its validity, permissions, or compliance.
  • C. licenseFamily
    Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
  • D. licenseFor
    Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
  • E. licenseStewardship
    Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another entity.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1576ab52c819087563cd778d6bc5e completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e73004d9e88190bb862319a5aea06b completed April 21, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e7342ce08c8190bc0a7085f4a952e7 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 8:43 p.m.