Triple

T8914461
Position Surface form Disambiguated ID Type / Status
Subject Allied Land Command Izmir E212262 entity
Predicate abbreviation 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: [Allied Land Command Izmir, abbreviation, LANDCOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LANDCOM
Context triple: [Allied Land Command Izmir, abbreviation, 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. AMCOM
    AMCOM is a major U.S. Army command responsible for the development, acquisition, and sustainment of the Army’s aviation and missile systems.
  • D. NATRACOM
    NATRACOM is the U.S. Navy’s Naval Air Training Command responsible for training and preparing naval aviators and flight officers.
  • E. Metricom
    Metricom was a pioneering wireless data communications company best known for its Ricochet wireless internet service in the 1990s.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660e620c8190b02b9843c8f02bfa completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4102e881908441669e14e5c491 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:56 p.m.