Triple

T6692557
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen Western Peripheral Route E152663 entity
Predicate alsoKnownAs P39 FINISHED
Object AWPR
AWPR is a major bypass road around Aberdeen, Scotland, designed to reduce congestion and improve regional connectivity.
 E612569 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: AWPR | Statement: [Aberdeen Western Peripheral Route, alsoKnownAs, AWPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWPR
Context triple: [Aberdeen Western Peripheral Route, alsoKnownAs, AWPR]
  • A. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • 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: AWPR
Triple: [Aberdeen Western Peripheral Route, alsoKnownAs, AWPR]
Generated description
AWPR is a major bypass road around Aberdeen, Scotland, designed to reduce congestion and improve regional connectivity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AWPR
Target entity description: AWPR is a major bypass road around Aberdeen, Scotland, designed to reduce congestion and improve regional connectivity.
  • A. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • B. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b193a8c08190a99152a8eca018e6 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b70ef88190b605c3c70a941cdb completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.