Triple

T4234086
Position Surface form Disambiguated ID Type / Status
Subject South-Central Texas E94650 entity
Predicate containsCity P294 FINISHED
Object Seguin
Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
 E422421 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: Seguin | Statement: [South-Central Texas, containsCity, Seguin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seguin
Context triple: [South-Central Texas, containsCity, Seguin]
  • A. Romo
    Romo is a surname most prominently associated with former Dallas Cowboys quarterback and current NFL broadcaster Tony Romo.
  • B. Anthony Calvillo
    Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
  • C. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • D. Coy Harlingen
    Coy Harlingen is a fictional saxophonist and presumed-dead ex-junkie turned government informant in Thomas Pynchon's novel "Inherent Vice."
  • E. Tom Tellez
    Tom Tellez is a renowned American track and field coach best known for developing Olympic sprint and long jump champion Carl Lewis and refining modern sprinting technique.
  • 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: Seguin
Triple: [South-Central Texas, containsCity, Seguin]
Generated description
Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seguin
Target entity description: Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
  • A. Romo
    Romo is a surname most prominently associated with former Dallas Cowboys quarterback and current NFL broadcaster Tony Romo.
  • B. Anthony Calvillo
    Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
  • C. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • D. Coy Harlingen
    Coy Harlingen is a fictional saxophonist and presumed-dead ex-junkie turned government informant in Thomas Pynchon's novel "Inherent Vice."
  • E. Tom Tellez
    Tom Tellez is a renowned American track and field coach best known for developing Olympic sprint and long jump champion Carl Lewis and refining modern sprinting technique.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5965316588190ac1a963a5ecfcdaa completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:05 p.m.