Triple

T21453988
Position Surface form Disambiguated ID Type / Status
Subject Danbury station E529289 entity
Predicate hasStationCode P1289 FINISHED
Object MNRR: DBY
MNRR: DBY is the Metro-North Railroad station code for Danbury station, a commuter rail stop on the Danbury Branch in Danbury, Connecticut.
 E1484673 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: MNRR: DBY | Statement: [Danbury station, hasStationCode, MNRR: DBY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MNRR: DBY
Context triple: [Danbury station, hasStationCode, MNRR: DBY]
  • A. MNR
    MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
  • B. MNR
    MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
  • C. DBR
    DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
  • D. DBY
    DBY is the National Rail station code for Derby railway station, a major rail hub in Derby, England.
  • E. NRR
    NRR is the IATA airport code for José Aponte de la Torre Airport, a public airport serving the Ceiba region in Puerto Rico.
  • 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: MNRR: DBY
Triple: [Danbury station, hasStationCode, MNRR: DBY]
Generated description
MNRR: DBY is the Metro-North Railroad station code for Danbury station, a commuter rail stop on the Danbury Branch in Danbury, Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MNRR: DBY
Target entity description: MNRR: DBY is the Metro-North Railroad station code for Danbury station, a commuter rail stop on the Danbury Branch in Danbury, Connecticut.
  • A. MNR
    MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
  • B. MNR
    MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
  • C. DBR
    DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
  • D. DBY
    DBY is the National Rail station code for Derby railway station, a major rail hub in Derby, England.
  • E. NRR
    NRR is the IATA airport code for José Aponte de la Torre Airport, a public airport serving the Ceiba region in Puerto Rico.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d50b88819081a771596d0a2b2b completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90cd3108190a2385924b8544a00 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9b5f08c8190b37c854f616944a9 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca3c4ec48190829b1bd83b933f53 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:07 p.m.