Triple

T7719518
Position Surface form Disambiguated ID Type / Status
Subject Leicester Square station E174970 entity
Predicate hasStationCode P1289 FINISHED
Object LSQ
LSQ is the three-letter station code for Leicester Square, a London Underground station in the West End.
 E684573 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: LSQ | Statement: [Leicester Square station, hasStationCode, LSQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSQ
Context triple: [Leicester Square station, hasStationCode, LSQ]
  • A. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • B. method of least squares
    The method of least squares is a fundamental mathematical technique for estimating unknown parameters by minimizing the sum of squared differences between observed and predicted values, widely used in statistics, data fitting, and regression analysis.
  • C. PLSQ
    PLSQ is a semi-professional soccer league in Quebec that forms part of the Canadian soccer pyramid and helps develop local talent.
  • D. SLQ
    SLQ is the National Rail station code for St Leonards Warrior Square railway station in East Sussex, England.
  • E. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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: LSQ
Triple: [Leicester Square station, hasStationCode, LSQ]
Generated description
LSQ is the three-letter station code for Leicester Square, a London Underground station in the West End.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSQ
Target entity description: LSQ is the three-letter station code for Leicester Square, a London Underground station in the West End.
  • A. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • B. method of least squares
    The method of least squares is a fundamental mathematical technique for estimating unknown parameters by minimizing the sum of squared differences between observed and predicted values, widely used in statistics, data fitting, and regression analysis.
  • C. PLSQ
    PLSQ is a semi-professional soccer league in Quebec that forms part of the Canadian soccer pyramid and helps develop local talent.
  • D. SLQ
    SLQ is the National Rail station code for St Leonards Warrior Square railway station in East Sussex, England.
  • E. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702eedc088190be645c029dfc462a completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b513f7d481908d2ce64d9685289c completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b6f7148081908f699bd5600b6c57 completed March 29, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7590ac08190ae43036828235ca7 completed March 29, 2026, 5:23 a.m.
Created at: March 27, 2026, 4:05 p.m.