Triple

T9051771
Position Surface form Disambiguated ID Type / Status
Subject Mon language E216899 entity
Predicate glottologCode P3086 FINISHED
Object monn1252
monn1252 is the Glottolog code designating the Mon language, an Austroasiatic language spoken primarily in Myanmar and Thailand.
E775514 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: monn1252 | Statement: [Mon language, glottologCode, monn1252]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: monn1252
Context triple: [Mon language, glottologCode, monn1252]
  • A. MONA
    MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
  • B. Monco
    Monco is the laconic bounty hunter portrayed by Clint Eastwood in Sergio Leone’s Spaghetti Western "For a Few Dollars More."
  • C. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • D. Ceci
    Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
  • E. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • 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: monn1252
Triple: [Mon language, glottologCode, monn1252]
Generated description
monn1252 is the Glottolog code designating the Mon language, an Austroasiatic language spoken primarily in Myanmar and Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: monn1252
Target entity description: monn1252 is the Glottolog code designating the Mon language, an Austroasiatic language spoken primarily in Myanmar and Thailand.
  • A. MONA
    MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
  • B. Monco
    Monco is the laconic bounty hunter portrayed by Clint Eastwood in Sergio Leone’s Spaghetti Western "For a Few Dollars More."
  • C. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • D. Ceci
    Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
  • E. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • 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.