Triple

T17446532
Position Surface form Disambiguated ID Type / Status
Subject Schertz E424798 entity
Predicate region P40 FINISHED
Object South 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: South Texas | Statement: [Schertz, region, South Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Texas
Context triple: [Schertz, region, South Texas]
  • A. South Texas
    South Texas is a culturally rich and predominantly Hispanic region of southern Texas known for its border communities, agriculture, and strong ties to Mexico.
  • B. Southeast Texas
    Southeast Texas is a region of Texas along the Gulf Coast that includes the Houston metropolitan area and is known for its humid climate, petrochemical industry, and diverse urban and coastal communities.
  • C. East Texas
    East Texas is a heavily forested, culturally Southern region of Texas known for its piney woods, oil industry history, and numerous rivers and bayous.
  • D. Texoma region
    The Texoma region is an area spanning parts of northern Texas and southern Oklahoma centered around Lake Texoma and the communities along the Red River.
  • E. South-Central Texas chosen
    South-Central Texas is a region of Texas known for its mix of urban centers like San Antonio, Hill Country landscapes, and a blend of Hispanic and Anglo cultural influences.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.