Triple

T16191919
Position Surface form Disambiguated ID Type / Status
Subject Croix-Rousse metro station E392960 entity
Predicate hasStationCode P1289 FINISHED
Object CRO
CRO is the station code for Croix-Rousse, a Lyon Metro station on line C in the Croix-Rousse district of Lyon, France.
 E1199220 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: CRO | Statement: [Croix-Rousse metro station, hasStationCode, CRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CRO
Context triple: [Croix-Rousse metro station, hasStationCode, CRO]
  • A. CRO
    The Commonwealth Relations Office (CRO) was a former department of the British government responsible for managing political and diplomatic relations with the countries of the Commonwealth.
  • B. CRO
    CRO is the three-letter International Olympic Committee country code representing Croatia in Olympic competitions.
  • C. CROX
    CROX is the stock ticker symbol for Crocs, Inc., the footwear company best known for its distinctive foam clogs.
  • D. crg
    crg is the ISO 639-3 language code for Michif, the mixed Cree–French language traditionally spoken by Métis communities in Canada and parts of the United States.
  • E. CRN
    CRN is the National Rail station code for Crowthorne railway station in Berkshire, England.
  • 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: CRO
Triple: [Croix-Rousse metro station, hasStationCode, CRO]
Generated description
CRO is the station code for Croix-Rousse, a Lyon Metro station on line C in the Croix-Rousse district of Lyon, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CRO
Target entity description: CRO is the station code for Croix-Rousse, a Lyon Metro station on line C in the Croix-Rousse district of Lyon, France.
  • A. CRO
    The Commonwealth Relations Office (CRO) was a former department of the British government responsible for managing political and diplomatic relations with the countries of the Commonwealth.
  • B. CRO
    CRO is the three-letter International Olympic Committee country code representing Croatia in Olympic competitions.
  • C. CROX
    CROX is the stock ticker symbol for Crocs, Inc., the footwear company best known for its distinctive foam clogs.
  • D. crg
    crg is the ISO 639-3 language code for Michif, the mixed Cree–French language traditionally spoken by Métis communities in Canada and parts of the United States.
  • E. CRN
    CRN is the National Rail station code for Crowthorne railway station in Berkshire, England.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d6975c8190a512a65d5b0021bb completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 5:02 a.m.