Triple

T14762454
Position Surface form Disambiguated ID Type / Status
Subject Silvestre Reyes E346900 entity
Predicate placeOfBirth P1 FINISHED
Object Canutillo, Texas NE ONDG

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: Canutillo, Texas | Statement: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canutillo, Texas
Context triple: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
  • A. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • B. Velasco, Texas
    Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
  • C. Mexia, Texas
    Mexia, Texas is a small city in Limestone County known historically for its oil boom and as a regional commercial center in central Texas.
  • D. Mesquite, Texas
    Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
  • E. Alvarado, Texas
    Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
  • 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: Canutillo, Texas
Triple: [Silvestre Reyes, placeOfBirth, Canutillo, Texas]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canutillo, Texas
Target entity description: Canutillo, Texas is a small unincorporated community in El Paso County near the U.S.–Mexico border, forming part of the El Paso metropolitan area.
  • A. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • B. Velasco, Texas
    Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
  • C. Mexia, Texas
    Mexia, Texas is a small city in Limestone County known historically for its oil boom and as a regional commercial center in central Texas.
  • D. Mesquite, Texas
    Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
  • E. Alvarado, Texas
    Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
  • F. None of above. chosen

Provenance (4 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 1:30 a.m.