Triple

T20341530
Position Surface form Disambiguated ID Type / Status
Subject New Mexico Department of Homeland Security and Emergency Management E495751 entity
Predicate hasAbbreviation P43 FINISHED
Object DHSEM
DHSEM is the state agency responsible for coordinating homeland security, emergency preparedness, response, and recovery efforts in New Mexico.
 E1425505 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: DHSEM | Statement: [New Mexico Department of Homeland Security and Emergency Management, hasAbbreviation, DHSEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DHSEM
Context triple: [New Mexico Department of Homeland Security and Emergency Management, hasAbbreviation, DHSEM]
  • A. DHM
    DHM is the National Rail station code for Durham railway station in County Durham, England.
  • B. DHM
    DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
  • C. DHM
    DHM is the IATA airport code for Kangra Airport, a regional airport serving Dharamshala and the surrounding Kangra Valley in Himachal Pradesh, India.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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: DHSEM
Triple: [New Mexico Department of Homeland Security and Emergency Management, hasAbbreviation, DHSEM]
Generated description
DHSEM is the state agency responsible for coordinating homeland security, emergency preparedness, response, and recovery efforts in New Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DHSEM
Target entity description: DHSEM is the state agency responsible for coordinating homeland security, emergency preparedness, response, and recovery efforts in New Mexico.
  • A. DHM
    DHM is the National Rail station code for Durham railway station in County Durham, England.
  • B. DHM
    DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
  • C. DHM
    DHM is the IATA airport code for Kangra Airport, a regional airport serving Dharamshala and the surrounding Kangra Valley in Himachal Pradesh, India.
  • D. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • E. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67835f6e881908834dda06cf66c50 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08695d2fb8819093c983801fa553b9 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e378fc8190a82d1e01006cf19a completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:23 a.m.