Triple

T7913153
Position Surface form Disambiguated ID Type / Status
Subject Flushing Main Street station E183748 entity
Predicate hasStationCode P1289 FINISHED
Object FLS
FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
 E696786 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: FLS | Statement: [Flushing Main Street station, hasStationCode, FLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLS
Context triple: [Flushing Main Street station, hasStationCode, FLS]
  • A. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • B. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • C. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • D. FLN
    FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
  • E. FSL
    FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
  • 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: FLS
Triple: [Flushing Main Street station, hasStationCode, FLS]
Generated description
FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLS
Target entity description: FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • A. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • B. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • C. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • D. FLN
    FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
  • E. FSL
    FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a748f4c8190bcd868de2fcf0b3a completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdfb8d0819089cf1268df61bcdc completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.