Triple

T1495483
Position Surface form Disambiguated ID Type / Status
Subject Mexican Plateau E29675 entity
Predicate hasPart P35 FINISHED
Object Mesa del Norte E110159 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: Mesa del Norte | Statement: [Mexican Plateau, hasPart, Mesa del Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesa del Norte
Context triple: [Mexican Plateau, hasPart, Mesa del Norte]
  • A. Mesa del Norte chosen
    Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
  • B. First Mesa
    First Mesa is a prominent Hopi community in northeastern Arizona, known for its ancient pueblos and continuous Indigenous cultural traditions.
  • C. Valle de Guadalupe
    Valle de Guadalupe is Mexico’s premier wine-producing region, renowned for its vineyards, boutique wineries, and gourmet food scene in the state of Baja California.
  • D. Sierra Alta
    Sierra Alta is a mountainous region in the Mexican state of Hidalgo known for its rugged terrain and rural communities.
  • E. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad308bf1048190bc15a712e5ee0caa completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 8:12 p.m.