Triple

T19807749
Position Surface form Disambiguated ID Type / Status
Subject Rosharon, Texas E475858 entity
Predicate locatedNear P294 FINISHED
Object Alvin, Texas NE NERFINISHED

How this triple was built (2 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: Alvin, Texas | Statement: [Rosharon, Texas, locatedNear, Alvin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvin, Texas
Context triple: [Rosharon, Texas, locatedNear, Alvin, Texas]
  • A. Alvin, Texas chosen
    Alvin, Texas is a small city in Brazoria County known as part of the Greater Houston region and as the hometown of Baseball Hall of Famer Nolan Ryan.
  • B. Alba, Texas
    Alba, Texas is a small rural town in East Texas known for its close-knit community and historic roots in farming and the railroad.
  • C. Alma, Texas
    Alma, Texas is a small unincorporated community located in Ellis County in the north-central region of the U.S. state of Texas.
  • D. Allison, Texas
    Allison, Texas is a small rural community located in the Texas Panhandle region of the United States.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.