Triple

T104909
Position Surface form Disambiguated ID Type / Status
Subject USASC E2117 entity
Predicate garrison P75 FINISHED
Object Fort Cavazos
Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
E29240 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: Fort Cavazos | Statement: [USASC, garrison, Fort Cavazos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Cavazos
Context triple: [USASC, garrison, Fort Cavazos]
  • A. Cedar Hill
    Cedar Hill is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its natural landscapes and proximity to Joe Pool Lake and Cedar Hill State Park.
  • B. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • C. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • D. Duncanville
    Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
  • E. Rowlett
    Rowlett is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its location along Lake Ray Hubbard and family-oriented residential communities.
  • 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: Fort Cavazos
Triple: [USASC, garrison, Fort Cavazos]
Generated description
Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fort Cavazos
Target entity description: Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
  • A. Cedar Hill
    Cedar Hill is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its natural landscapes and proximity to Joe Pool Lake and Cedar Hill State Park.
  • B. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • C. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • D. Duncanville
    Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
  • E. Rowlett
    Rowlett is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its location along Lake Ray Hubbard and family-oriented residential communities.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35b5f4ac88190bc12cc7cf7e5a090 completed Feb. 28, 2026, 9:17 p.m.
NEDg Description generation batch_69a35c4fe9d88190be3dcb22c4cc587e completed Feb. 28, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69a35cb4f3488190b4bfc9df7c4dec97 completed Feb. 28, 2026, 9:23 p.m.
Created at: Feb. 28, 2026, 2:12 a.m.