Triple

T6980899
Position Surface form Disambiguated ID Type / Status
Subject Tamanic languages E161840 entity
Predicate glottologName P6521 FINISHED
Object Tamanic
Tamanic is a small subgroup of Austronesian languages spoken primarily in parts of Borneo.
E632480 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: Tamanic | Statement: [Tamanic languages, glottologName, Tamanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamanic
Context triple: [Tamanic languages, glottologName, Tamanic]
  • A. Tallassee
    Tallassee is a small city in central Alabama known for its location along the Tallapoosa River and its historic textile mill heritage.
  • B. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • C. Timaná
    Timaná is a municipality and town in southern Colombia known for its colonial heritage and agricultural economy within the Andean region.
  • D. Mima
    Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
  • E. Vidzeme Upland
    Vidzeme Upland is a hilly highland region in northeastern Latvia known for containing the country’s highest elevations and scenic landscapes.
  • 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: Tamanic
Triple: [Tamanic languages, glottologName, Tamanic]
Generated description
Tamanic is a small subgroup of Austronesian languages spoken primarily in parts of Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamanic
Target entity description: Tamanic is a small subgroup of Austronesian languages spoken primarily in parts of Borneo.
  • A. Tallassee
    Tallassee is a small city in central Alabama known for its location along the Tallapoosa River and its historic textile mill heritage.
  • B. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • C. Timaná
    Timaná is a municipality and town in southern Colombia known for its colonial heritage and agricultural economy within the Andean region.
  • D. Mima
    Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
  • E. Vidzeme Upland
    Vidzeme Upland is a hilly highland region in northeastern Latvia known for containing the country’s highest elevations and scenic landscapes.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c0ecd88190a684392aa6daf267 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c76275a5f08190b71a59694ef4a1fd completed March 28, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69c762ee1a048190ada3e6fd850e468b completed March 28, 2026, 5:11 a.m.
Created at: March 27, 2026, 2:31 p.m.