Triple

T8048464
Position Surface form Disambiguated ID Type / Status
Subject Persian Gulf Pro League E187613 entity
Predicate alsoKnownAs P39 FINISHED
Object PGPL
PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
 E706483 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: PGPL | Statement: [Persian Gulf Pro League, alsoKnownAs, PGPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PGPL
Context triple: [Persian Gulf Pro League, alsoKnownAs, PGPL]
  • A. PGPD
    PGPD is the primary law enforcement agency responsible for policing and public safety in Prince George’s County, Maryland.
  • B. PGRO
    PGRO is the ICAO airport code for Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • C. PGP
    PGP (Pretty Good Privacy) is an encryption program that provides cryptographic privacy and authentication for data communication, most notably for securing emails and files.
  • D. PGS
    PGS stands for Prompt Global Strike, a U.S. military concept aimed at enabling rapid, precision conventional strikes anywhere in the world within a short time frame.
  • E. PGSN
    PGSN is the ICAO airport code for Saipan International Airport, the main airport serving Saipan in the Northern Mariana Islands.
  • 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: PGPL
Triple: [Persian Gulf Pro League, alsoKnownAs, PGPL]
Generated description
PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PGPL
Target entity description: PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • A. PGPD
    PGPD is the primary law enforcement agency responsible for policing and public safety in Prince George’s County, Maryland.
  • B. PGRO
    PGRO is the ICAO airport code for Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • C. PGP
    PGP (Pretty Good Privacy) is an encryption program that provides cryptographic privacy and authentication for data communication, most notably for securing emails and files.
  • D. PGS
    PGS stands for Prompt Global Strike, a U.S. military concept aimed at enabling rapid, precision conventional strikes anywhere in the world within a short time frame.
  • E. PGSN
    PGSN is the ICAO airport code for Saipan International Airport, the main airport serving Saipan in the Northern Mariana Islands.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7711f48190af2002533c2e426a completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5716934481908ec60cc9fd825ad7 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58acba3c8190b7d09aa23b5f10f8 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5ccee5648190a8ebdf8029eded98 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:24 p.m.