Triple

T5444467
Position Surface form Disambiguated ID Type / Status
Subject Chester railway station E122213 entity
Predicate stationCode P1289 FINISHED
Object CTR
CTR is the National Rail station code for Chester railway station in Cheshire, England.
 E520310 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: CTR | Statement: [Chester railway station, stationCode, CTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CTR
Context triple: [Chester railway station, stationCode, CTR]
  • A. CTS
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • B. CTS
    CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • C. CTS
    CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
  • D. CTA
    CTA is the primary public transportation agency serving Chicago and many of its surrounding suburbs, operating the city's buses and rapid transit "L" train system.
  • E. CTA
    CTA is the IATA airport code for Catania–Fontanarossa Airport, the main international airport serving Catania and eastern Sicily, Italy.
  • 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: CTR
Triple: [Chester railway station, stationCode, CTR]
Generated description
CTR is the National Rail station code for Chester railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CTR
Target entity description: CTR is the National Rail station code for Chester railway station in Cheshire, England.
  • A. CTS
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • B. CTS
    CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • C. CTS
    CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
  • D. CTA
    CTA is the primary public transportation agency serving Chicago and many of its surrounding suburbs, operating the city's buses and rapid transit "L" train system.
  • E. CTA
    CTA is the IATA airport code for Catania–Fontanarossa Airport, the main international airport serving Catania and eastern Sicily, Italy.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ce3e4081908e11a731416c0378 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4132bcf08190af2ca506a40fb26e completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4207393c819089b4fc6691a2d076 completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf427e2bd08190b7664922d26e16d2 completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 2:07 p.m.