Triple

T5378040
Position Surface form Disambiguated ID Type / Status
Subject Bedford, Texas E113008 entity
Predicate hasFacility P105 FINISHED
Object Bedford City Hall
Bedford City Hall is the central municipal government building serving the city of Bedford, Texas.
 E515195 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: Bedford City Hall | Statement: [Bedford, Texas, hasFacility, Bedford City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bedford City Hall
Context triple: [Bedford, Texas, hasFacility, Bedford City Hall]
  • A. Belmont Town Hall
    Belmont Town Hall is the central municipal building in Belmont, Massachusetts, housing key town government offices and public meeting spaces.
  • B. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • C. Greenfield City Hall
    Greenfield City Hall is the primary municipal government building and a notable historic landmark in downtown Greenfield, Massachusetts.
  • D. Fairfield City Hall
    Fairfield City Hall is the main municipal government building of Fairfield, serving as the administrative center and meeting place for the city’s elected council.
  • E. Chelsea City Hall
    Chelsea City Hall is the primary municipal government building serving the city of Chelsea, Alabama.
  • 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: Bedford City Hall
Triple: [Bedford, Texas, hasFacility, Bedford City Hall]
Generated description
Bedford City Hall is the central municipal government building serving the city of Bedford, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bedford City Hall
Target entity description: Bedford City Hall is the central municipal government building serving the city of Bedford, Texas.
  • A. Belmont Town Hall
    Belmont Town Hall is the central municipal building in Belmont, Massachusetts, housing key town government offices and public meeting spaces.
  • B. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • C. Greenfield City Hall
    Greenfield City Hall is the primary municipal government building and a notable historic landmark in downtown Greenfield, Massachusetts.
  • D. Fairfield City Hall
    Fairfield City Hall is the main municipal government building of Fairfield, serving as the administrative center and meeting place for the city’s elected council.
  • E. Chelsea City Hall
    Chelsea City Hall is the primary municipal government building serving the city of Chelsea, Alabama.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29465ff0819082c05dbe40a306f3 completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf29e0c9708190ac76c8306b76f0fa completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a93efa88190b641924bb652068c completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:03 p.m.