Triple

T2749297
Position Surface form Disambiguated ID Type / Status
Subject Robert G. Heft E60944 entity
Predicate flagVersion P41373 FINISHED
Object 50-star version of the United States flag 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: 50-star version of the United States flag | Statement: [Robert G. Heft, flagVersion, 50-star version of the United States flag]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: flagVersion
Context triple: [Robert G. Heft, flagVersion, 50-star version of the United States flag]
  • A. flag
    Indicates that one entity marks, signals, or draws attention to another entity, often to denote status, importance, or the need for review or action.
  • B. flagUsedBy
    Indicates that a particular flag is officially used by a specified entity, such as a country, organization, or group.
  • C. flagDescription
    Indicates that a textual explanation or label is provided describing the meaning, purpose, or status represented by a particular flag.
  • D. flagUsedIn
    Indicates that a particular flag is employed or referenced within a given context, such as a program, configuration, or process.
  • E. flagshipStatus
    Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:56 p.m.