Triple

T16926802
Position Surface form Disambiguated ID Type / Status
Subject Midtown MARTA station E410594 entity
Predicate hasStationCode P1289 FINISHED
Object N4
N4 is the station code used to identify the Midtown station on Atlanta’s MARTA rapid transit system.
 E1241317 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: N4 | Statement: [Midtown MARTA station, hasStationCode, N4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N4
Context triple: [Midtown MARTA station, hasStationCode, N4]
  • A. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • B. N1
    N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
  • C. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • D. N3
    N3 is a Dutch regional road that serves as a key connector route in the South Holland region of the Netherlands.
  • E. N2
    N2 is a major national highway designated as National Route N2 in its country’s road network.
  • 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: N4
Triple: [Midtown MARTA station, hasStationCode, N4]
Generated description
N4 is the station code used to identify the Midtown station on Atlanta’s MARTA rapid transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N4
Target entity description: N4 is the station code used to identify the Midtown station on Atlanta’s MARTA rapid transit system.
  • A. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • B. N1
    N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
  • C. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • D. N3
    N3 is a Dutch regional road that serves as a key connector route in the South Holland region of the Netherlands.
  • E. N2
    N2 is a major national highway designated as National Route N2 in its country’s road network.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf2dcd881909798bd245e18c599 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd8a88c8190adda386b62fe543c completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.