Triple

T2207760
Position Surface form Disambiguated ID Type / Status
Subject Clovis E50841 entity
Predicate economicRegion P9956 FINISHED
Object Llano Estacado E9201 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: Llano Estacado | Statement: [Clovis, economicRegion, Llano Estacado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llano Estacado
Context triple: [Clovis, economicRegion, Llano Estacado]
  • A. Great Plains chosen
    The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
  • B. Northern Great Plain
    The Northern Great Plain is a large, predominantly flat agricultural and economic region in eastern Hungary that includes major cities such as Debrecen.
  • C. Plains
    Plains is a small village in North Lanarkshire, Scotland, situated between Airdrie and Caldercruix in the country’s Central Belt.
  • D. Oklahoma Panhandle
    The Oklahoma Panhandle is the narrow western strip of Oklahoma known for its High Plains landscape, sparse population, and central role in the Dust Bowl era.
  • E. Missouri Plateau
    The Missouri Plateau is a high, rolling upland region of the northern Great Plains characterized by grasslands, badlands, and significant fossil-bearing rock formations.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:46 p.m.