Triple

T3649417
Position Surface form Disambiguated ID Type / Status
Subject London Paddington E77382 entity
Predicate stationCode P1289 FINISHED
Object PAD
PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
 E376473 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: PAD | Statement: [London Paddington, stationCode, PAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAD
Context triple: [London Paddington, stationCode, PAD]
  • A. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • B. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • C. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • D. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • E. 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.
  • 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: PAD
Triple: [London Paddington, stationCode, PAD]
Generated description
PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAD
Target entity description: PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • A. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • B. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • 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 standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. 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.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4520fb96481909f54af01fc4a3bbe completed March 13, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69b45df65f5c8190a9f25e7da926222a completed March 13, 2026, 6:56 p.m.
Created at: March 8, 2026, 3:24 p.m.