Triple

T36258631
Position Surface form Disambiguated ID Type / Status
Subject San Carlos Apache language E892016 entity
Predicate closelyRelatedTo P37 FINISHED
Object Tonto Apache language
The Tonto Apache language is an Athabaskan language variety traditionally spoken by the Tonto Apache people of Arizona, closely related to other Western Apache dialects.
E892016 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: Tonto Apache language | Statement: [San Carlos Apache language, closelyRelatedTo, Tonto Apache language]
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: Tonto Apache language
Triple: [San Carlos Apache language, closelyRelatedTo, Tonto Apache language]
Generated description
The Tonto Apache language is an Athabaskan language variety traditionally spoken by the Tonto Apache people of Arizona, closely related to other Western Apache dialects.

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_69f76e4599108190811532e707d6bc2c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5ffa4248190973a99bcacb02b60 completed May 3, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d501a748190bd3db2749f372c71 completed June 22, 2026, 2:57 p.m.
NEDg Description generation batch_6a394eb2a5948190b52a135a14d8dea7 completed June 22, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a394f9b84008190b401b1484aaaebaa completed June 22, 2026, 3:07 p.m.
Created at: May 3, 2026, 4:09 p.m.