Triple

T19504149
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Department of Corrections E487975 entity
Predicate abbreviation P43 FINISHED
Object PA DOC
PA DOC is the state agency responsible for overseeing and managing the prison and correctional system in Pennsylvania.
E1380604 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 DOC | Statement: [Pennsylvania Department of Corrections, abbreviation, PA DOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PA DOC
Context triple: [Pennsylvania Department of Corrections, abbreviation, PA DOC]
  • A. AK DOC
    AK DOC is the state agency responsible for overseeing prisons, jails, and offender rehabilitation in Alaska.
  • B. DC DOC
    DC DOC is the government agency responsible for operating the jail and correctional facilities for the District of Columbia.
  • 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 vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • 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 DOC
Triple: [Pennsylvania Department of Corrections, abbreviation, PA DOC]
Generated description
PA DOC is the state agency responsible for overseeing and managing the prison and correctional system in Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PA DOC
Target entity description: PA DOC is the state agency responsible for overseeing and managing the prison and correctional system in Pennsylvania.
  • A. AK DOC
    AK DOC is the state agency responsible for overseeing prisons, jails, and offender rehabilitation in Alaska.
  • B. DC DOC
    DC DOC is the government agency responsible for operating the jail and correctional facilities for the District of Columbia.
  • C. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • 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 provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635105db8819084915dc2d047188d completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07471d8090819086554e08c86c5fe0 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07480899788190b61de30bff1414d6 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07491088a48190914abc69055cf807 completed May 15, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:40 p.m.