Triple

T16814844
Position Surface form Disambiguated ID Type / Status
Subject Nassau Avenue E408715 entity
Predicate stationCode P1289 FINISHED
Object G29
G29 is the internal station code used by the New York City Subway system to identify Nassau Avenue station on the G line in Brooklyn.
 E1234922 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: G29 | Statement: [Nassau Avenue, stationCode, G29]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G29
Context triple: [Nassau Avenue, stationCode, G29]
  • A. G29
    G29 is the third-generation BMW Z4 roadster, known for its sharp styling, rear-wheel-drive dynamics, and shared platform with the Toyota GR Supra.
  • B. U29
    U29 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
  • C. G23
    G23 is BMW’s internal model code for the second-generation 4 Series Convertible, a compact luxury drop-top introduced in the early 2020s.
  • D. A329
    The A329 is a major road in England that provides a key route connecting the town of Thame with other nearby settlements and regional highways.
  • E. G26
    G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • 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: G29
Triple: [Nassau Avenue, stationCode, G29]
Generated description
G29 is the internal station code used by the New York City Subway system to identify Nassau Avenue station on the G line in Brooklyn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G29
Target entity description: G29 is the internal station code used by the New York City Subway system to identify Nassau Avenue station on the G line in Brooklyn.
  • A. G29
    G29 is the third-generation BMW Z4 roadster, known for its sharp styling, rear-wheel-drive dynamics, and shared platform with the Toyota GR Supra.
  • B. U29
    U29 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
  • C. G23
    G23 is BMW’s internal model code for the second-generation 4 Series Convertible, a compact luxury drop-top introduced in the early 2020s.
  • D. A329
    The A329 is a major road in England that provides a key route connecting the town of Thame with other nearby settlements and regional highways.
  • E. G26
    G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.