Triple

T31762677
Position Surface form Disambiguated ID Type / Status
Subject 369th Infantry Regiment E810722 entity
Predicate frontLineServiceDuration P173778 FINISHED
Object over 180 days in combat 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: over 180 days in combat | Statement: [369th Infantry Regiment, frontLineServiceDuration, over 180 days in combat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frontLineServiceDuration
Context triple: [369th Infantry Regiment, frontLineServiceDuration, over 180 days in combat]
  • A. frontLineService
    Indicates that an entity provides direct, first-contact service or support to customers, clients, or the public.
  • B. frontLineLength
    Indicates the total measured extent of the front line where opposing forces or boundaries directly face each other.
  • C. frontLineDuring
    Indicates that an entity is positioned at or serves on the front line during a specified time or event.
  • D. frontlineService
    Indicates that an entity provides direct, first-point-of-contact service or support to end users or customers.
  • E. frontLine
    Indicates that an entity is positioned at or associated with the foremost or primary line of engagement, activity, or defense relative to others.
  • 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_69f348e463e08190b902d4819195e1f0 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ba1733408190af579d93a7946508 completed May 3, 2026, 2:59 a.m.
PD Predicate disambiguation batch_69f6b6293188819080d5041ca0adb969 completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b960ca4081909a77690c2b122f5e completed May 3, 2026, 2:56 a.m.
Created at: April 30, 2026, 11:31 p.m.