Triple

T4374292
Position Surface form Disambiguated ID Type / Status
Subject Bisacquino E98967 entity
Predicate hasRegionCode P3446 FINISHED
Object PA
PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
 E434940 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: PA | Statement: [Bisacquino, hasRegionCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PA
Context triple: [Bisacquino, hasRegionCode, PA]
  • A. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • B. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • C. PA
    The Palestinian Authority is an interim self-governing body established to administer parts of the West Bank and Gaza Strip as part of the Israeli-Palestinian peace process.
  • D. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • E. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • 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: PA
Triple: [Bisacquino, hasRegionCode, PA]
Generated description
PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PA
Target entity description: PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • A. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • B. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • C. PA
    The Palestinian Authority is an interim self-governing body established to administer parts of the West Bank and Gaza Strip as part of the Israeli-Palestinian peace process.
  • D. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • E. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e512350081908da06038e3080a3e completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e58d77d88190b59e372eeec35195 completed March 14, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5fa68c08190a482cb7ea9030515 completed March 14, 2026, 10:49 p.m.
Created at: March 12, 2026, 11:17 p.m.