Triple

T13566151
Position Surface form Disambiguated ID Type / Status
Subject Macau garrison of the PLA E324038 entity
Predicate serviceNumberEstimate P51380 FINISHED
Object several hundred personnel 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: several hundred personnel | Statement: [Macau garrison of the PLA, serviceNumberEstimate, several hundred personnel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceNumberEstimate
Context triple: [Macau garrison of the PLA, serviceNumberEstimate, several hundred personnel]
  • A. serviceNumberApproximate chosen
    Indicates that one entity’s service number is approximately equal to, but not necessarily exactly the same as, another entity’s service number.
  • B. serviceNumber
    Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
  • C. serviceNumberOrEquivalent
    Indicates that one entity specifies the service number or an equivalent identifying code associated with another entity.
  • D. serviceNumberStatus
    Indicates the current operational or availability state associated with a specific service number.
  • E. serviceNumberLabel
    Indicates that a label or identifier is assigned to denote the service number associated with an entity.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.