Triple

T1212148
Position Surface form Disambiguated ID Type / Status
Subject Pontifical Academy of Social Sciences E26023 entity
Predicate alsoKnownAs P39 FINISHED
Object PASS
PASS is the acronym for the Pontifical Academy of Social Sciences, a Vatican-based institution that promotes the study and application of social sciences in light of the Catholic Church’s teachings.
 E137521 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: PASS | Statement: [Pontifical Academy of Social Sciences, alsoKnownAs, PASS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PASS
Context triple: [Pontifical Academy of Social Sciences, alsoKnownAs, PASS]
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • E. PASP
    PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
  • 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: PASS
Triple: [Pontifical Academy of Social Sciences, alsoKnownAs, PASS]
Generated description
PASS is the acronym for the Pontifical Academy of Social Sciences, a Vatican-based institution that promotes the study and application of social sciences in light of the Catholic Church’s teachings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PASS
Target entity description: PASS is the acronym for the Pontifical Academy of Social Sciences, a Vatican-based institution that promotes the study and application of social sciences in light of the Catholic Church’s teachings.
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • C. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • D. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • E. PASP
    PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bde6cb608190b77fc5c47083e4b7 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f43a12c8190a1ba90eefafd6bbc completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fbadd08819090ef4a9aff3bef0b completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac8022a6b08190ba6a1448cebe6017 completed March 7, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:46 p.m.