Triple

T35510324
Position Surface form Disambiguated ID Type / Status
Subject The Pitt E1026269 entity
Predicate notableChoice P207014 FINISHED
Object decision regarding the cure for mutations 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: decision regarding the cure for mutations | Statement: [The Pitt, notableChoice, decision regarding the cure for mutations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableChoice
Context triple: [The Pitt, notableChoice, decision regarding the cure for mutations]
  • A. notableSingle
    Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notableFavorite
    Indicates that one entity is a particularly prominent or distinguished favorite of another entity compared to other possible favorites.
  • D. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • E. notableDisplay
    Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
  • 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_69f76dfd61208190b93ec6dc439cab41 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a04d8348190a4819666eab42c9b completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82179081908325a59b8539b3a8 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:04 p.m.