Triple

T16995933
Position Surface form Disambiguated ID Type / Status
Subject LANDCOM E412315 entity
Predicate shortName P43 FINISHED
Object LANDCOM E412315 NE 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: LANDCOM | Statement: [LANDCOM, shortName, LANDCOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LANDCOM
Context triple: [LANDCOM, shortName, LANDCOM]
  • A. LANDCOM chosen
    LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
  • B. Volacom
    Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
  • C. CEFCOM
    CEFCOM is the acronym for Canadian Expeditionary Force Command, the former Canadian military organization responsible for planning and conducting overseas operations.
  • D. AMCOM
    AMCOM is a major U.S. Army command responsible for the development, acquisition, and sustainment of the Army’s aviation and missile systems.
  • E. COMCO
    COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.