Triple

T4511208
Position Surface form Disambiguated ID Type / Status
Subject Mesquite, Texas E102057 entity
Predicate foundedAs P364 FINISHED
Object Mesquite E9808 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: Mesquite | Statement: [Mesquite, Texas, foundedAs, Mesquite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesquite
Context triple: [Mesquite, Texas, foundedAs, Mesquite]
  • A. Mesquite chosen
    Mesquite is a suburban city in the eastern part of the Dallas–Fort Worth metropolitan area known for its residential communities and regional retail centers.
  • B. Palo verde
    Palo verde is a small desert tree native to the American Southwest, recognized for its green bark and bright yellow spring blossoms.
  • C. Tawny Cypress
    Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
  • D. Ceboruco
    Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
  • E. Yucca
    Yucca is a hardy, evergreen desert plant known for its sword-like leaves and tall clusters of white flowers, commonly found in arid regions of the Americas.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f875c4c81909e67d44b605816c2 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.