Triple

T4135067
Position Surface form Disambiguated ID Type / Status
Subject Minute Maid E85133 entity
Predicate headquartersLocation P62 FINISHED
Object Sugar Land, Texas E315391 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: Sugar Land, Texas | Statement: [Minute Maid, headquartersLocation, Sugar Land, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Land, Texas
Context triple: [Minute Maid, headquartersLocation, Sugar Land, Texas]
  • A. Sugar Land, Texas chosen
    Sugar Land, Texas is a rapidly growing, affluent suburban city in the Houston metropolitan area known for its master-planned communities and strong local economy.
  • B. Round Rock, Texas
    Round Rock, Texas is a rapidly growing suburban city north of Austin known for its strong economy, family-friendly communities, and role as a regional hub for education and technology.
  • C. Baytown, Texas
    Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
  • D. Pearland, Texas
    Pearland, Texas is a rapidly growing suburban city in the Houston metropolitan area known for its family-friendly neighborhoods and diverse community.
  • E. Humble, Texas
    Humble, Texas is a small suburban city in the Houston metropolitan area known historically for its early 20th-century oil boom.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af023190608190bcc929c5996b7378 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6feae608190b677362d9c734165 completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:43 p.m.