Triple

T2391641
Position Surface form Disambiguated ID Type / Status
Subject Warsaw University of Technology E48956 entity
Predicate shortName P43 FINISHED
Object PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
 E263571 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: PW | Statement: [Warsaw University of Technology, shortName, PW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PW
Context triple: [Warsaw University of Technology, shortName, PW]
  • A. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • B. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • C. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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: PW
Triple: [Warsaw University of Technology, shortName, PW]
Generated description
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PW
Target entity description: PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • A. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • B. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • C. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d7b4908190a87dd33316d2d725 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b83ec48190b2852daef0767ac8 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb57af28c8190bfca30ad3e7ca8b3 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.