Triple

T7749014
Position Surface form Disambiguated ID Type / Status
Subject Province of Pisa E175706 entity
Predicate hasISOCode P189 FINISHED
Object IT-PI
IT-PI is the ISO 3166-2 code that uniquely identifies the Province of Pisa within Italy.
E686262 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: IT-PI | Statement: [Province of Pisa, hasISOCode, IT-PI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT-PI
Context triple: [Province of Pisa, hasISOCode, IT-PI]
  • A. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • B. IT-LT
    IT-LT is the ISO 3166-2 subdivision code assigned to the Province of Latina in Italy.
  • C. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • D. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • E. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • 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: IT-PI
Triple: [Province of Pisa, hasISOCode, IT-PI]
Generated description
IT-PI is the ISO 3166-2 code that uniquely identifies the Province of Pisa within Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IT-PI
Target entity description: IT-PI is the ISO 3166-2 code that uniquely identifies the Province of Pisa within Italy.
  • A. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • B. IT-LT
    IT-LT is the ISO 3166-2 subdivision code assigned to the Province of Latina in Italy.
  • C. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • D. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • E. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703affb6c8190adf4723dc1139edf completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be53b3788190a850ce1aaaac3aaa completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8c235b1748190b6c17c5975e2eb9b completed March 29, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69c8c2f1dd508190853065d9e4e331b2 completed March 29, 2026, 6:13 a.m.
Created at: March 27, 2026, 4:08 p.m.