Triple

T7912965
Position Surface form Disambiguated ID Type / Status
Subject Oyster Bay station E183743 entity
Predicate hasStationCode P1289 FINISHED
Object OBY
OBY is the National Rail station code for Oyster Bay railway station.
 E696778 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: OBY | Statement: [Oyster Bay station, hasStationCode, OBY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OBY
Context triple: [Oyster Bay station, hasStationCode, OBY]
  • A. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • B. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • C. OBR
    OBR is the independent UK fiscal watchdog that provides official economic and public finance forecasts and assesses the sustainability of government finances.
  • D. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • E. OB
    OB is an abbreviation used to denote membership in the Order of the Bath, a British order of chivalry.
  • 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: OBY
Triple: [Oyster Bay station, hasStationCode, OBY]
Generated description
OBY is the National Rail station code for Oyster Bay railway station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OBY
Target entity description: OBY is the National Rail station code for Oyster Bay railway station.
  • A. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • B. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • C. OBR
    OBR is the independent UK fiscal watchdog that provides official economic and public finance forecasts and assesses the sustainability of government finances.
  • D. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • E. OB
    OB is an abbreviation used to denote membership in the Order of the Bath, a British order of chivalry.
  • 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_69cb3a7383cc819084eab19799209d2e 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.