Triple

T17576940
Position Surface form Disambiguated ID Type / Status
Subject Newark North Gate railway station E428093 entity
Predicate railwayStationCode P1289 FINISHED
Object NNG
NNG is the three-letter National Rail station code assigned to Newark North Gate railway station in Nottinghamshire, England.
 E1277045 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: NNG | Statement: [Newark North Gate railway station, railwayStationCode, NNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NNG
Context triple: [Newark North Gate railway station, railwayStationCode, NNG]
  • A. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • B. NNL
    NNL is the commonly used abbreviation for the Nigeria National League, the second-tier professional football league in Nigeria.
  • C. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • D. NNDH
    NNDH is the official station code used to identify Nürnberg-Dürrenhof railway station in Germany’s rail network.
  • E. NNU
    NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
  • 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: NNG
Triple: [Newark North Gate railway station, railwayStationCode, NNG]
Generated description
NNG is the three-letter National Rail station code assigned to Newark North Gate railway station in Nottinghamshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NNG
Target entity description: NNG is the three-letter National Rail station code assigned to Newark North Gate railway station in Nottinghamshire, England.
  • A. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • B. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • C. NNL
    NNL is the commonly used abbreviation for the Nigeria National League, the second-tier professional football league in Nigeria.
  • D. NNDH
    NNDH is the official station code used to identify Nürnberg-Dürrenhof railway station in Germany’s rail network.
  • E. NNU
    NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ca76848190a7beb6deb4b0f1a4 completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddebfec88190a6783388521faf57 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01e2779a2c8190ab895dd0399b40e1 completed May 11, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_6a01e30e76548190a51ff1ee870c563f completed May 11, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:50 a.m.