Triple

T12618500
Position Surface form Disambiguated ID Type / Status
Subject Aldgate East E301317 entity
Predicate hasStationCode P1289 FINISHED
Object ALE
ALE is the National Rail station code assigned to Aldgate East station in London.
 E992126 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: ALE | Statement: [Aldgate East, hasStationCode, ALE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALE
Context triple: [Aldgate East, hasStationCode, ALE]
  • A. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • B. ALE
    ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
  • C. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • D. AL
    AL is the official United States Postal Service abbreviation for the state of Alabama.
  • E. AL
    AL is the vehicle registration code used on license plates for the Spanish province of Almería.
  • 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: ALE
Triple: [Aldgate East, hasStationCode, ALE]
Generated description
ALE is the National Rail station code assigned to Aldgate East station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALE
Target entity description: ALE is the National Rail station code assigned to Aldgate East station in London.
  • A. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • B. ALE
    ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
  • C. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • D. AL
    AL is the official United States Postal Service abbreviation for the state of Alabama.
  • E. AL
    AL is the vehicle registration code used on license plates for the Spanish province of Almería.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65fb03b248190b264230b84b17635 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 9, 2026, 5:13 p.m.