Triple

T17299583
Position Surface form Disambiguated ID Type / Status
Subject Pune railway division E420005 entity
Predicate railwayCode P18202 FINISHED
Object PA
PA is the station and administrative code used by Indian Railways for the Pune railway division.
 E1262304 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: [Pune railway division, railwayCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PA
Context triple: [Pune railway division, railwayCode, PA]
  • 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 abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • C. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • D. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • E. PA
    PA is the official abbreviation for the Philippine Army, the main ground warfare branch of the Armed Forces of the Philippines.
  • 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: [Pune railway division, railwayCode, PA]
Generated description
PA is the station and administrative code used by Indian Railways for the Pune railway division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PA
Target entity description: PA is the station and administrative code used by Indian Railways for the Pune railway division.
  • A. PA
    PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • B. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • C. PA
    PA is the acronym for the Prudential Authority, the financial sector regulator operating within the South African Reserve Bank.
  • 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 standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f8efb481908b56172c7f749b62 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01877483608190b311946ba05bcc94 completed May 11, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a01880bad1c8190bdce946a04714ad3 completed May 11, 2026, 7:40 a.m.
Created at: April 10, 2026, 5:41 a.m.