Triple

T9051612
Position Surface form Disambiguated ID Type / Status
Subject Bahnaric E216896 entity
Predicate hasLanguage P15 FINISHED
Object Sre
Sre is an Austroasiatic language spoken by the Sre (Koho) people of Vietnam’s Central Highlands, belonging to the Bahnaric branch.
 E775495 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: Sre | Statement: [Bahnaric, hasLanguage, Sre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sre
Context triple: [Bahnaric, hasLanguage, Sre]
  • A. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • B. SREN
    SREN is the stock ticker symbol for Swiss Re, one of the world’s largest reinsurance companies headquartered in Zurich, Switzerland.
  • C. Sar
    Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
  • D. Sel
    Sel is a municipality in Innlandet county, Norway, known for its mountainous landscapes and location in the Gudbrandsdalen valley.
  • E. SRES
    SRES is the School of Resources and Environmental Science at Wuhan University, a faculty focused on education and research in natural resources, geography, and environmental science.
  • 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: Sre
Triple: [Bahnaric, hasLanguage, Sre]
Generated description
Sre is an Austroasiatic language spoken by the Sre (Koho) people of Vietnam’s Central Highlands, belonging to the Bahnaric branch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sre
Target entity description: Sre is an Austroasiatic language spoken by the Sre (Koho) people of Vietnam’s Central Highlands, belonging to the Bahnaric branch.
  • A. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • B. SREN
    SREN is the stock ticker symbol for Swiss Re, one of the world’s largest reinsurance companies headquartered in Zurich, Switzerland.
  • C. Sar
    Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
  • D. Sel
    Sel is a municipality in Innlandet county, Norway, known for its mountainous landscapes and location in the Gudbrandsdalen valley.
  • E. SRES
    SRES is the School of Resources and Environmental Science at Wuhan University, a faculty focused on education and research in natural resources, geography, and environmental science.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:10 p.m.