Triple

T16898137
Position Surface form Disambiguated ID Type / Status
Subject Edgware Road tube station (Bakerloo line) E424362 entity
Predicate hasStationCode P1289 FINISHED
Object EDG
EDG is the three-letter station code used by Transport for London to identify the Edgware Road station on the Bakerloo line of the London Underground.
 E1239244 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: EDG | Statement: [Edgware Road tube station (Bakerloo line), hasStationCode, EDG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDG
Context triple: [Edgware Road tube station (Bakerloo line), hasStationCode, EDG]
  • A. EDG
    EDG is the station code used to identify Duisburg Hauptbahnhof, a major railway hub in western Germany.
  • B. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • C. Gen.G Esports
    Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
  • D. WBG
    WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
  • E. SKT
    SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
  • 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: EDG
Triple: [Edgware Road tube station (Bakerloo line), hasStationCode, EDG]
Generated description
EDG is the three-letter station code used by Transport for London to identify the Edgware Road station on the Bakerloo line of the London Underground.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDG
Target entity description: EDG is the three-letter station code used by Transport for London to identify the Edgware Road station on the Bakerloo line of the London Underground.
  • A. EDG
    EDG is the station code used to identify Duisburg Hauptbahnhof, a major railway hub in western Germany.
  • B. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • C. Gen.G Esports
    Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
  • D. WBG
    WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
  • E. SKT
    SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c830f7ac8190ae25232f88e9774b completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8aa5aac8190be5f79f992c8a0ec completed May 10, 2026, 6:04 p.m.
Created at: April 10, 2026, 5:29 a.m.