Triple

T943660
Position Surface form Disambiguated ID Type / Status
Subject 2nd Ranger Battalion E20361 entity
Predicate operationalTempo P1368 FINISHED
Object high 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: high | Statement: [2nd Ranger Battalion, operationalTempo, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalTempo
Context triple: [2nd Ranger Battalion, operationalTempo, high]
  • A. operationalCeiling
    Indicates the maximum altitude at which an entity (such as an aircraft or system) is designed or permitted to operate effectively and safely.
  • B. tempo chosen
    Indicates the speed or pace at which an action, process, or sequence unfolds over time.
  • C. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • D. operationalCommand
    Indicates that one entity issues or holds authoritative control over the actions or operations of another entity.
  • E. operatingTemperature
    Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29dc8dc8190b9d33f70f8563d61 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.