Triple

T17383989
Position Surface form Disambiguated ID Type / Status
Subject Calhoun County Courthouse (Florida) E422639 entity
Predicate hasAddressLocality P7943 FINISHED
Object Blountstown
Blountstown is a small city in Florida’s Panhandle that serves as the county seat of Calhoun County.
E1267182 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: Blountstown | Statement: [Calhoun County Courthouse (Florida), hasAddressLocality, Blountstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blountstown
Context triple: [Calhoun County Courthouse (Florida), hasAddressLocality, Blountstown]
  • A. Hainesville
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • B. Palatka
    Palatka is a small historic city in Florida known for its location along the St. Johns River and its role as a regional hub in North Central Florida.
  • C. Chiefland
    Chiefland is a small city in Levy County, Florida, known as a regional crossroads and gateway to nearby natural springs and outdoor recreation areas.
  • D. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • E. McClenny
    McClenny is a surname most notably associated with individuals such as Carr Bowers McClenny.
  • 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: Blountstown
Triple: [Calhoun County Courthouse (Florida), hasAddressLocality, Blountstown]
Generated description
Blountstown is a small city in Florida’s Panhandle that serves as the county seat of Calhoun County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blountstown
Target entity description: Blountstown is a small city in Florida’s Panhandle that serves as the county seat of Calhoun County.
  • A. Hainesville
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • B. Palatka
    Palatka is a small historic city in Florida known for its location along the St. Johns River and its role as a regional hub in North Central Florida.
  • C. Chiefland
    Chiefland is a small city in Levy County, Florida, known as a regional crossroads and gateway to nearby natural springs and outdoor recreation areas.
  • D. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • E. McClenny
    McClenny is a surname most notably associated with individuals such as Carr Bowers McClenny.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a87d9948190986021f1fb5a4e00 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7f182488190a47260c417ccca22 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a898ceb48190ba3d40c898b17158 completed May 11, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a01a9183410819083c8239e3ce38ea2 completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:45 a.m.