Triple

T20735999
Position Surface form Disambiguated ID Type / Status
Subject Malakoff, Texas E509706 entity
Predicate publicSafety P8728 FINISHED
Object Malakoff Fire Department
The Malakoff Fire Department is a local fire and emergency response agency serving the community of Malakoff, Texas.
 E1448487 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: Malakoff Fire Department | Statement: [Malakoff, Texas, publicSafety, Malakoff Fire Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malakoff Fire Department
Context triple: [Malakoff, Texas, publicSafety, Malakoff Fire Department]
  • A. Marlboro Fire Department
    The Marlboro Fire Department is the municipal fire and emergency response agency serving Marlboro Township, New Jersey.
  • B. Bryant Fire Department
    The Bryant Fire Department is the municipal fire and emergency response agency serving the city of Bryant, Arkansas.
  • C. Melissa Fire Department
    Melissa Fire Department is the municipal fire and emergency response agency serving the city of Melissa, Texas.
  • D. Joshua Fire Department
    Joshua Fire Department is the municipal fire and emergency services agency serving the community of Joshua, Texas.
  • E. Porter Fire Department
    Porter Fire Department is the local emergency response agency providing fire protection and related services to the community of Porter, Texas.
  • 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: Malakoff Fire Department
Triple: [Malakoff, Texas, publicSafety, Malakoff Fire Department]
Generated description
The Malakoff Fire Department is a local fire and emergency response agency serving the community of Malakoff, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malakoff Fire Department
Target entity description: The Malakoff Fire Department is a local fire and emergency response agency serving the community of Malakoff, Texas.
  • A. Marlboro Fire Department
    The Marlboro Fire Department is the municipal fire and emergency response agency serving Marlboro Township, New Jersey.
  • B. Bryant Fire Department
    The Bryant Fire Department is the municipal fire and emergency response agency serving the city of Bryant, Arkansas.
  • C. Melissa Fire Department
    Melissa Fire Department is the municipal fire and emergency response agency serving the city of Melissa, Texas.
  • D. Joshua Fire Department
    Joshua Fire Department is the municipal fire and emergency services agency serving the community of Joshua, Texas.
  • E. Porter Fire Department
    Porter Fire Department is the local emergency response agency providing fire protection and related services to the community of Porter, Texas.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20a02d48190bba22d1bdbeb370d completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8378f988190916d497b136ffcf1 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8fc1d6c819083f06debaa3bec24 completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e98a594c8190b3a2d9ae7e3af4f7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:31 p.m.