Triple

T581835
Position Surface form Disambiguated ID Type / Status
Subject Kumeyaay language E15074 entity
Predicate alsoKnownAs P39 FINISHED
Object Diegueño
Diegueño is an alternative name for the Kumeyaay language, an indigenous Yuman language traditionally spoken in the border region of southern California and northern Baja California.
 E74202 NE FINISHED

How this triple was built (4 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: Diegueño | Statement: [Kumeyaay language, alsoKnownAs, Diegueño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diegueño
Context triple: [Kumeyaay language, alsoKnownAs, Diegueño]
  • A. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • B. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Madera
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • E. Miantonomo
    Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diegueño
Triple: [Kumeyaay language, alsoKnownAs, Diegueño]
Generated description
Diegueño is an alternative name for the Kumeyaay language, an indigenous Yuman language traditionally spoken in the border region of southern California and northern Baja California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diegueño
Target entity description: Diegueño is an alternative name for the Kumeyaay language, an indigenous Yuman language traditionally spoken in the border region of southern California and northern Baja California.
  • A. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • B. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Madera
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • E. Miantonomo
    Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
  • F. None of above. chosen

Provenance (5 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b84899881909d5b2b4e67e22d9b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5155210dc8190bad32b49703641e2 completed March 2, 2026, 4:42 a.m.
NEDg Description generation batch_69a51788f870819099271dcb41ee4bda completed March 2, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69a51846caa481909a61fa29a44b7470 completed March 2, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:33 p.m.