Triple

T3307485
Position Surface form Disambiguated ID Type / Status
Subject Army Reserve armoured units E69484 entity
Predicate manningModel P47942 FINISHED
Object reservists 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: reservists | Statement: [Army Reserve armoured units, manningModel, reservists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: manningModel
Context triple: [Army Reserve armoured units, manningModel, reservists]
  • A. riverManaged
    Indicates that a river is subject to management, regulation, or oversight by a particular authority, organization, or system.
  • B. majorPortAtMouth
    Indicates that a major port is located at the mouth of a river where it meets a larger body of water.
  • C. hasFlowRegime
    Indicates that one entity is characterized by, or operates under, a particular pattern or regime of flow.
  • D. floodGauge
    Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
  • E. inflowWatercourse
    Indicates that one watercourse flows into or feeds another water body or watercourse.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada526764881908e4bd52938d5374d completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:11 p.m.