Triple

T1521029
Position Surface form Disambiguated ID Type / Status
Subject Tetum E32226 entity
Predicate ISO639-1Code P208 FINISHED
Object tet
tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
 E173797 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: tet | Statement: [Tetum, ISO639-1Code, tet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: tet
Context triple: [Tetum, ISO639-1Code, tet]
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • C. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • 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: tet
Triple: [Tetum, ISO639-1Code, tet]
Generated description
tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: tet
Target entity description: tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • C. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907f071848190a5fb8fa1b97ef4de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294f9e2481909f1d685d7f083c6a completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29f4edc48190b78a6df091e289ab completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a78b9608190b70f8d0ae531618d completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.