Triple

T8527373
Position Surface form Disambiguated ID Type / Status
Subject Purdue University Fort Wayne E201850 entity
Predicate shortName P43 FINISHED
Object PFW
PFW is a public university in Fort Wayne, Indiana, offering a wide range of undergraduate and graduate programs as part of the Purdue University system.
 E742098 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: PFW | Statement: [Purdue University Fort Wayne, shortName, PFW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PFW
Context triple: [Purdue University Fort Wayne, shortName, PFW]
  • A. P&W
    P&W was the original name of the transit service now known as the Norristown High Speed Line in the Philadelphia region.
  • B. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • C. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • D. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • E. PW
    PW is the abbreviated name for Price Waterhouse, a former major international accounting and professional services firm that later became part of PricewaterhouseCoopers (PwC).
  • 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: PFW
Triple: [Purdue University Fort Wayne, shortName, PFW]
Generated description
PFW is a public university in Fort Wayne, Indiana, offering a wide range of undergraduate and graduate programs as part of the Purdue University system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PFW
Target entity description: PFW is a public university in Fort Wayne, Indiana, offering a wide range of undergraduate and graduate programs as part of the Purdue University system.
  • A. P&W
    P&W was the original name of the transit service now known as the Norristown High Speed Line in the Philadelphia region.
  • B. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • C. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • D. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • E. PW
    PW is the abbreviated name for Price Waterhouse, a former major international accounting and professional services firm that later became part of PricewaterhouseCoopers (PwC).
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce71cd3320819090f2e09f51493f9a completed April 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69ce725a4cf081909cd470fd4d7452ca completed April 2, 2026, 1:42 p.m.
Created at: March 30, 2026, 6:16 p.m.