Triple

T4308195
Position Surface form Disambiguated ID Type / Status
Subject Esken Limited E94008 entity
Predicate tickerSymbol P1447 FINISHED
Object ESKN
ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
E429252 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: ESKN | Statement: [Esken Limited, tickerSymbol, ESKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESKN
Context triple: [Esken Limited, tickerSymbol, ESKN]
  • A. SKN
    SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
  • B. KNSE
    KNSE is the ICAO airport code for Naval Air Station Whiting Field, a major U.S. Navy aviation training facility in Florida.
  • C. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. EKHN
    EKHN is a regional Protestant church body in Germany, formally known as the Evangelical Church of Hesse and Nassau and belonging to the Evangelical Church in Germany (EKD).
  • 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: ESKN
Triple: [Esken Limited, tickerSymbol, ESKN]
Generated description
ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESKN
Target entity description: ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • A. SKN
    SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
  • B. KNSE
    KNSE is the ICAO airport code for Naval Air Station Whiting Field, a major U.S. Navy aviation training facility in Florida.
  • C. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. EKHN
    EKHN is a regional Protestant church body in Germany, formally known as the Evangelical Church of Hesse and Nassau and belonging to the Evangelical Church in Germany (EKD).
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c756809c8190af90c91ec7883e55 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c804f3f881908dd2d020d07c4859 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84e48b8819080571f995d8baf13 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:11 p.m.