Triple

T10596467
Position Surface form Disambiguated ID Type / Status
Subject 5th Marine Infantry Battalion E250125 entity
Predicate positionInBattle P94843 FINISHED
Object defensive positions on Mount Tumbledown 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: defensive positions on Mount Tumbledown | Statement: [5th Marine Infantry Battalion, positionInBattle, defensive positions on Mount Tumbledown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInBattle
Context triple: [5th Marine Infantry Battalion, positionInBattle, defensive positions on Mount Tumbledown]
  • A. positionOnTactics
    Indicates the stance or viewpoint an entity holds regarding a particular tactic or set of tactics.
  • B. allyInBattle
    Indicates that two or more entities cooperate on the same side as partners during a specific battle or combat situation.
  • C. positionInFormation
    Indicates the relative place or role an entity occupies within an organized formation or arrangement.
  • D. positionB
    Indicates that one entity occupies or is located at a specific position relative to another entity.
  • E. positionInLineup
    Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278dacc4819089b759744f100e5f completed April 7, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69d5190a6dfc819088262957551808a1 completed April 7, 2026, 2:47 p.m.
PDg Predicate description generation batch_69d5270eca0481908573b698390c5b08 completed April 7, 2026, 3:47 p.m.
Created at: April 6, 2026, 12:41 p.m.