Triple

T2100083
Position Surface form Disambiguated ID Type / Status
Subject Third Assessment Report E37072 entity
Predicate abbreviation P43 FINISHED
Object TAR
TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
 E233919 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: [Third Assessment Report, abbreviation, TAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TAR
Context triple: [Third Assessment Report, abbreviation, TAR]
  • A. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • B. ATA
    ATA (Advanced Technology Attachment), commonly known as IDE, is a standard interface used to connect storage devices like hard drives and optical drives to a computer's motherboard.
  • C. ATA
    ATA is the acronym for the Allen Telescope Array, a large-scale radio telescope array in California designed for astronomical observations and the search for extraterrestrial intelligence.
  • D. TARS
    TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
  • E. TIF
    TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
  • 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: [Third Assessment Report, abbreviation, TAR]
Generated description
TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TAR
Target entity description: TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • A. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • B. ATA
    ATA is the acronym for the Allen Telescope Array, a large-scale radio telescope array in California designed for astronomical observations and the search for extraterrestrial intelligence.
  • C. ATA
    ATA (Advanced Technology Attachment), commonly known as IDE, is a standard interface used to connect storage devices like hard drives and optical drives to a computer's motherboard.
  • D. TARS
    TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
  • E. TIF
    TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbab9f5b88190b8a18056dc592dde completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.