Triple

T18981409
Position Surface form Disambiguated ID Type / Status
Subject City of Von Ormy E464434 entity
Predicate shortName P43 FINISHED
Object Von Ormy
Von Ormy is a small city in Bexar County, Texas, known for its attempts to reduce local government regulation and taxes.
E1351965 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: Von Ormy | Statement: [City of Von Ormy, shortName, Von Ormy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Von Ormy
Context triple: [City of Von Ormy, shortName, Von Ormy]
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • B. Hinson
    Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
  • C. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • D. Willart
    Willart is a given name or surname that functions as a variant spelling of Willard.
  • E. Walganus
    Walganus is an alternative name or variant form of the name Walwen, likely referring to the same historical or legendary figure.
  • 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: Von Ormy
Triple: [City of Von Ormy, shortName, Von Ormy]
Generated description
Von Ormy is a small city in Bexar County, Texas, known for its attempts to reduce local government regulation and taxes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Von Ormy
Target entity description: Von Ormy is a small city in Bexar County, Texas, known for its attempts to reduce local government regulation and taxes.
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • B. Hinson
    Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
  • C. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • D. Willart
    Willart is a given name or surname that functions as a variant spelling of Willard.
  • E. Walganus
    Walganus is an alternative name or variant form of the name Walwen, likely referring to the same historical or legendary figure.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65c11808190810c79c91799dec0 completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad41b9188190a947489a40df02c9 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05ae57ce7881909d15b7ac451b98a9 completed May 14, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a05af24cb288190913827bf30a9a010 completed May 14, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:01 p.m.