Triple

T9127177
Position Surface form Disambiguated ID Type / Status
Subject People in Need E218993 entity
Predicate hasAbbreviation P43 FINISHED
Object PIN
PIN is the commonly used abbreviation for People in Need, a humanitarian and development non-governmental organization.
 E779743 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: PIN | Statement: [People in Need, hasAbbreviation, PIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PIN
Context triple: [People in Need, hasAbbreviation, PIN]
  • A. Pin
    Pin is a slender, pointed fastening device commonly used to secure or attach materials such as fabric or paper.
  • B. PINS
    PINS is the stock ticker symbol for Pinterest, a visual discovery and social media platform where users find and save ideas through images and videos.
  • C. 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.
  • D. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • E. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • 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: PIN
Triple: [People in Need, hasAbbreviation, PIN]
Generated description
PIN is the commonly used abbreviation for People in Need, a humanitarian and development non-governmental organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PIN
Target entity description: PIN is the commonly used abbreviation for People in Need, a humanitarian and development non-governmental organization.
  • A. Pin
    Pin is a slender, pointed fastening device commonly used to secure or attach materials such as fabric or paper.
  • B. PINS
    PINS is the stock ticker symbol for Pinterest, a visual discovery and social media platform where users find and save ideas through images and videos.
  • C. 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.
  • D. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • E. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8c93d3c8190b003b2b1af2003b2 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318ef52c8190bfa0bef6a8d41daa completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d03571c4648190bd546152c61c55a5 completed April 3, 2026, 9:47 p.m.
Created at: March 30, 2026, 7:18 p.m.