Triple

T11082609
Position Surface form Disambiguated ID Type / Status
Subject Mesa Grande E262039 entity
Predicate city P40 FINISHED
Object Mesa E19620 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 | Statement: [Mesa Grande, city, Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesa
Context triple: [Mesa Grande, city, Mesa]
  • A. Mesa
    Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
  • B. Mesa, Arizona chosen
    Mesa, Arizona is a large city in the Phoenix metropolitan area known for its desert climate, suburban communities, and role as a major spring training hub for Major League Baseball.
  • C. Sedona
    Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
  • D. Mesa Central
    Mesa Central is a high, semi-arid plateau region in central Mexico known for its basins, volcanic ranges, and significant agricultural and urban centers.
  • E. Mesa Grande
    Mesa Grande is a significant prehistoric platform mound and archaeological site in present-day Mesa, Arizona, associated with the ancient Hohokam civilization.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799bf89f48190889f08d2f5dd220a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e789d7248190a40de0bdda539f45 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.