Triple

T15761560
Position Surface form Disambiguated ID Type / Status
Subject Oban railway station E382109 entity
Predicate stationCode P1289 FINISHED
Object OBN
OBN is the National Rail station code for Oban railway station in Argyll and Bute, Scotland.
 E1175249 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: OBN | Statement: [Oban railway station, stationCode, OBN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OBN
Context triple: [Oban railway station, stationCode, OBN]
  • A. OBY
    OBY is the National Rail station code for Oyster Bay railway station.
  • B. OPBN
    OPBN is the ICAO airport code assigned to Bannu Airport in Pakistan.
  • C. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • D. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • E. OBR
    OBR is the independent UK fiscal watchdog that provides official economic and public finance forecasts and assesses the sustainability of government finances.
  • 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: OBN
Triple: [Oban railway station, stationCode, OBN]
Generated description
OBN is the National Rail station code for Oban railway station in Argyll and Bute, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OBN
Target entity description: OBN is the National Rail station code for Oban railway station in Argyll and Bute, Scotland.
  • A. OBY
    OBY is the National Rail station code for Oyster Bay railway station.
  • B. OPBN
    OPBN is the ICAO airport code assigned to Bannu Airport in Pakistan.
  • C. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • D. OBR
    OBR is the independent UK fiscal watchdog that provides official economic and public finance forecasts and assesses the sustainability of government finances.
  • E. OBR
    OBR is the standard rulebook that governs the official rules and regulations of professional baseball, particularly Major League Baseball.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8774eda08190a6231b4fd5027e6f completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff885d33708190adb157afa7dc2e07 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff8948cc68819085c3953226236394 completed May 9, 2026, 7:21 p.m.
Created at: April 10, 2026, 4:47 a.m.