Triple

T11830945
Position Surface form Disambiguated ID Type / Status
Subject Austin metropolitan area E281387 entity
Predicate containsCity P294 FINISHED
Object Leander, Texas E597864 NE FINISHED

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: Leander, Texas | Statement: [Austin metropolitan area, containsCity, Leander, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leander, Texas
Context triple: [Austin metropolitan area, containsCity, Leander, Texas]
  • A. Leander, Texas chosen
    Leander, Texas is a rapidly growing suburban city in Central Texas that is part of the Greater Austin metropolitan area.
  • B. Leo, Texas
    Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
  • C. Leonard, Texas
    Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
  • D. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • E. New London, Texas
    New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6366adc8190b5c8163af684afde completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:43 p.m.