Triple

T15354353
Position Surface form Disambiguated ID Type / Status
Subject Xingu peoples E367135 entity
Predicate usesLanguage P238 FINISHED
Object Trumai language
The Trumai language is an indigenous language of central Brazil spoken by the Trumai people of the Upper Xingu region.
 E1151563 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: Trumai language | Statement: [Xingu peoples, usesLanguage, Trumai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trumai language
Context triple: [Xingu peoples, usesLanguage, Trumai language]
  • A. Tirma language
    The Tirma language is a lesser-known Surmic language spoken by the Tirma people of southwestern Ethiopia.
  • B. Tumari language
    The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
  • C. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • E. Truku language
    The Truku language is an indigenous Austronesian language of the Truku people in eastern Taiwan, noted for its complex phonology and endangered status.
  • 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: Trumai language
Triple: [Xingu peoples, usesLanguage, Trumai language]
Generated description
The Trumai language is an indigenous language of central Brazil spoken by the Trumai people of the Upper Xingu region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trumai language
Target entity description: The Trumai language is an indigenous language of central Brazil spoken by the Trumai people of the Upper Xingu region.
  • A. Tirma language
    The Tirma language is a lesser-known Surmic language spoken by the Tirma people of southwestern Ethiopia.
  • B. Tumari language
    The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
  • C. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • E. Truku language
    The Truku language is an indigenous Austronesian language of the Truku people in eastern Taiwan, noted for its complex phonology and endangered status.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff036cf4c481909eaab72ee97fbf6c completed May 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ff03d829d48190990412a84f4376dc completed May 9, 2026, 9:52 a.m.
Created at: April 10, 2026, 3:18 a.m.