Triple

T9051652
Position Surface form Disambiguated ID Type / Status
Subject Palaungic E216897 entity
Predicate hasLanguage P15 FINISHED
Object Lawa language
Lawa language is an Austroasiatic language spoken by the Lawa people of northern Thailand, closely related to other Palaungic languages.
 E775500 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: Lawa language | Statement: [Palaungic, hasLanguage, Lawa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawa language
Context triple: [Palaungic, hasLanguage, Lawa language]
  • A. Laka language
    Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Lewa language
    Lewa language is an Austronesian language spoken by the Sumba people on Sumba Island in eastern Indonesia.
  • E. Tawala language
    Tawala language is an Austronesian language of the Papuan Tip region of Papua New Guinea, spoken primarily in coastal communities of Milne Bay Province.
  • 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: Lawa language
Triple: [Palaungic, hasLanguage, Lawa language]
Generated description
Lawa language is an Austroasiatic language spoken by the Lawa people of northern Thailand, closely related to other Palaungic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawa language
Target entity description: Lawa language is an Austroasiatic language spoken by the Lawa people of northern Thailand, closely related to other Palaungic languages.
  • A. Laka language
    Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Lewa language
    Lewa language is an Austronesian language spoken by the Sumba people on Sumba Island in eastern Indonesia.
  • E. Tawala language
    Tawala language is an Austronesian language of the Papuan Tip region of Papua New Guinea, spoken primarily in coastal communities of Milne Bay Province.
  • 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.