Triple

T4268138
Position Surface form Disambiguated ID Type / Status
Subject Texas Division of Emergency Management E96873 entity
Predicate abbreviation P43 FINISHED
Object TDEM
TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
 E426079 NE FINISHED

How this triple was built (4 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: [Texas Division of Emergency Management, abbreviation, TDEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDEM
Context triple: [Texas Division of Emergency Management, abbreviation, TDEM]
  • A. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • B. TDM
    TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • C. DETEC
    DETEC is the commonly used abbreviation for Switzerland’s Federal Department of the Environment, Transport, Energy and Communications, which oversees national policy in these key infrastructure and environmental areas.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. Terretektorh
    Terretektorh is an experimental orchestral composition by Iannis Xenakis that spatially distributes musicians around the audience to create an immersive sound environment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TDEM
Triple: [Texas Division of Emergency Management, abbreviation, TDEM]
Generated description
TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDEM
Target entity description: TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
  • A. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • B. TDM
    TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • C. DETEC
    DETEC is the commonly used abbreviation for Switzerland’s Federal Department of the Environment, Transport, Energy and Communications, which oversees national policy in these key infrastructure and environmental areas.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. Terretektorh
    Terretektorh is an experimental orchestral composition by Iannis Xenakis that spatially distributes musicians around the audience to create an immersive sound environment.
  • F. None of above. chosen

Provenance (5 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ff913608190b6ccf4a85057b07b completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79fe8c08190b4a9e4812babc78e completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b8f79a7081909a09e9a7e4241472 completed March 14, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69b5b967dabc8190913a37a866bb1c9d completed March 14, 2026, 7:39 p.m.
Created at: March 12, 2026, 11:07 p.m.