Triple

T422244
Position Surface form Disambiguated ID Type / Status
Subject Enrico Fermi Award E8128 entity
Predicate oneOfOldest P9756 FINISHED
Object United States government science and technology honors 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: United States government science and technology honors | Statement: [Enrico Fermi Award, oneOfOldest, United States government science and technology honors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfOldest
Context triple: [Enrico Fermi Award, oneOfOldest, United States government science and technology honors]
  • A. earliestKnownAncestor
    Indicates that one entity is the most distant (oldest) known ancestor in the lineage of another entity.
  • B. isOldest
    Indicates that one entity has a greater age than all other relevant entities in the comparison set.
  • C. isOneOfOldestJournalsIn chosen
    Indicates that an entity is among the earliest-established journals within a specified group, field, or region.
  • D. historicallyInhabitedBy
    Indicates that a place or region was inhabited by a particular group or population during some period in the past.
  • E. isOldestOrderOf
    Indicates that one order is the earliest or first created among a set of related orders for a given context or 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec0e9dc81908c08b209ce5278ef completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd5439c8190aea661b8b4aa51e9 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.