Triple

T10186215
Position Surface form Disambiguated ID Type / Status
Subject Penge East railway station E236914 entity
Predicate stationCode P1289 FINISHED
Object PNE
PNE is the National Rail station code for Penge East railway station in south London, England.
 E847136 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: PNE | Statement: [Penge East railway station, stationCode, PNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PNE
Context triple: [Penge East railway station, stationCode, PNE]
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PNE
    PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
  • C. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • D. PN
    PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
  • E. PN
    PN is the official abbreviation for the Philippine Navy, the naval 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: PNE
Triple: [Penge East railway station, stationCode, PNE]
Generated description
PNE is the National Rail station code for Penge East railway station in south London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PNE
Target entity description: PNE is the National Rail station code for Penge East railway station in south London, England.
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PNE
    PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
  • C. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • D. PN
    PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
  • E. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317adddc88190a41d0eabe64f952b completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d31b9f32c08190af2e71641e9542b0 completed April 6, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69d31c421e1081908763cc97e0b1317c completed April 6, 2026, 2:36 a.m.
Created at: March 30, 2026, 9:12 p.m.