Triple

T2807577
Position Surface form Disambiguated ID Type / Status
Subject Polish Academy of Learning E54090 entity
Predicate shortName P43 FINISHED
Object PAU
PAU is the abbreviation for the Polish Academy of Learning, a historic scholarly society based in Kraków that promotes advanced research and education in the sciences and humanities.
 E298996 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: PAU | Statement: [Polish Academy of Learning, shortName, PAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAU
Context triple: [Polish Academy of Learning, shortName, PAU]
  • A. PUC
    PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
  • B. PUC
    PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
  • C. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • D. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • E. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • 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: PAU
Triple: [Polish Academy of Learning, shortName, PAU]
Generated description
PAU is the abbreviation for the Polish Academy of Learning, a historic scholarly society based in Kraków that promotes advanced research and education in the sciences and humanities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAU
Target entity description: PAU is the abbreviation for the Polish Academy of Learning, a historic scholarly society based in Kraków that promotes advanced research and education in the sciences and humanities.
  • A. PUC
    PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
  • B. PUC
    PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
  • C. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • D. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc79deb2081908b0bfa5f14395503 completed March 10, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69afc82ac1148190a254415e336ba1e3 completed March 10, 2026, 7:28 a.m.
Created at: March 6, 2026, 9:59 p.m.