Triple

T17496760
Position Surface form Disambiguated ID Type / Status
Subject TDEM E426079 entity
Predicate hasAbbreviation P43 FINISHED
Object TDEM NE NERFINISHED

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: TDEM | Statement: [TDEM, hasAbbreviation, TDEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TDEM
Context triple: [TDEM, hasAbbreviation, TDEM]
  • A. TDEM chosen
    TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
  • B. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • C. TLDM
    TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • D. Electromagnetic Recordings
    Electromagnetic Recordings is a music record label known for releasing projects such as the collaborative supergroup The New Basement Tapes.
  • E. TDM
    TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520e9c8c8190aa955766bc915d26 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.