Triple

T2605957
Position Surface form Disambiguated ID Type / Status
Subject Personal Independence Payment E58658 entity
Predicate abbreviation P43 FINISHED
Object PIP
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
 E282246 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: PIP | Statement: [Personal Independence Payment, abbreviation, PIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PIP
Context triple: [Personal Independence Payment, abbreviation, PIP]
  • A. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • B. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • C. IPC
    IPC is the IATA airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
  • D. PTY
    PTY is the IATA airport code for Tocumen International Airport, the main international gateway serving Panama City, Panama.
  • E. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • 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: PIP
Triple: [Personal Independence Payment, abbreviation, PIP]
Generated description
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PIP
Target entity description: PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • A. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • B. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • C. IPC
    IPC is the IATA airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
  • D. PTY
    PTY is the IATA airport code for Tocumen International Airport, the main international gateway serving Panama City, Panama.
  • E. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd864958c8190b3ad6123f1ac78ca completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83de926c81909e45160f9fc78799 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af8501adc4819092035d7e55524fc8 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af85a6060c8190a80d5633d1b8a9d5 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.