Triple

T272364
Position Surface form Disambiguated ID Type / Status
Subject Federal Technology Transfer Act of 1986 E5660 entity
Predicate createsIncentivesFor P7916 FINISHED
Object commercialization of government-developed technologies 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: commercialization of government-developed technologies | Statement: [Federal Technology Transfer Act of 1986, createsIncentivesFor, commercialization of government-developed technologies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createsIncentivesFor
Context triple: [Federal Technology Transfer Act of 1986, createsIncentivesFor, commercialization of government-developed technologies]
  • A. typeOfIncentive chosen
    Indicates the specific kind or category of incentive associated with an entity or action.
  • B. encourages
    Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
  • C. promotes
    Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
  • D. supportsBonus
    Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
  • E. sponsorInHouse
    Indicates that one entity formally supports, promotes, or funds another entity within the same organization, institution, or internal setting.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25e69a9248190b9e7959b43223baa completed Feb. 28, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69a25b721180819080d43c43fcbccf87 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.