Triple

T5629337
Position Surface form Disambiguated ID Type / Status
Subject Persian culture E147794 entity
Predicate traditionalInstrument P8530 FINISHED
Object tar
The tar is a long-necked, waisted lute central to Persian classical music, known for its rich, resonant tone and intricate melodic capabilities.
E532786 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: tar | Statement: [Persian culture, traditionalInstrument, tar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tar
Context triple: [Persian culture, traditionalInstrument, tar]
  • A. TAR
    TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • B. TAR
    TAR is the standard abbreviation for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • C. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • D. TAR
    TAR is a Mexican regional airline operating domestic passenger flights to various destinations across the country.
  • E. GNU Tar
    GNU Tar is a widely used free software utility for creating, maintaining, modifying, and extracting files from archive files, especially on Unix-like systems.
  • 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: tar
Triple: [Persian culture, traditionalInstrument, tar]
Generated description
The tar is a long-necked, waisted lute central to Persian classical music, known for its rich, resonant tone and intricate melodic capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: tar
Target entity description: The tar is a long-necked, waisted lute central to Persian classical music, known for its rich, resonant tone and intricate melodic capabilities.
  • A. TAR
    TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • B. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • C. TAR
    TAR is the standard abbreviation for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • D. TAR
    TAR is a Mexican regional airline operating domestic passenger flights to various destinations across the country.
  • E. GNU Tar
    GNU Tar is a widely used free software utility for creating, maintaining, modifying, and extracting files from archive files, especially on Unix-like systems.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223b1e54819099fe5fc84ed17a88 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02882babc819093c987c745615865 completed March 22, 2026, 5:36 p.m.
NEDg Description generation batch_69c03f8c1a3081908f9d03a6c51d69f0 completed March 22, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c040501a088190bcb8127c911a31df completed March 22, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:40 p.m.