Triple

T9192383
Position Surface form Disambiguated ID Type / Status
Subject Aslian branch E220620 entity
Predicate hasLanguage P15 FINISHED
Object Besisi
Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
E783494 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: Besisi | Statement: [Aslian branch, hasLanguage, Besisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besisi
Context triple: [Aslian branch, hasLanguage, Besisi]
  • A. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • B. Bessas
    Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
  • C. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • D. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • E. Badesi
    Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
  • 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: Besisi
Triple: [Aslian branch, hasLanguage, Besisi]
Generated description
Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Besisi
Target entity description: Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
  • A. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • B. Bessas
    Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
  • C. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • D. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • E. Badesi
    Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05dde94f08190aec82aa680ca0dce completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.