Triple

T13156428
Position Surface form Disambiguated ID Type / Status
Subject London Paddington station E312600 entity
Predicate stationCode P1289 FINISHED
Object PAD E376473 NE FINISHED

How this triple was built (2 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 station, stationCode, PAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PAD
Context triple: [London Paddington station, stationCode, PAD]
  • A. PAD chosen
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • B. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • C. PAL
    PAL is the European and other non-NTSC television broadcast standard that defined video format and regional compatibility for systems like the Game Boy Player.
  • D. PAT
    PAT is the National Rail station code for Patricroft railway station in Greater Manchester, England.
  • E. PAT
    PAT is the IATA airport code for Jay Prakash Narayan International Airport serving Patna, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf06f408190949f9ed5e899815b completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.