Triple

T16256197
Position Surface form Disambiguated ID Type / Status
Subject Central Commission for the Navigation of the Rhine E394634 entity
Predicate shortName P43 FINISHED
Object ZKR
ZKR is the abbreviated name of the Central Commission for the Navigation of the Rhine, an international organization overseeing navigation and related regulations on the Rhine River.
 E1202550 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: ZKR | Statement: [Central Commission for the Navigation of the Rhine, shortName, ZKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZKR
Context triple: [Central Commission for the Navigation of the Rhine, shortName, ZKR]
  • A. ZK
    ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
  • B. ZKF
    ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
  • C. ZKL
    ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
  • D. KZJ
    KZJ is the Indian Railways station code for Kazipet Junction, a major railway junction in Telangana, India.
  • E. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • 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: ZKR
Triple: [Central Commission for the Navigation of the Rhine, shortName, ZKR]
Generated description
ZKR is the abbreviated name of the Central Commission for the Navigation of the Rhine, an international organization overseeing navigation and related regulations on the Rhine River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZKR
Target entity description: ZKR is the abbreviated name of the Central Commission for the Navigation of the Rhine, an international organization overseeing navigation and related regulations on the Rhine River.
  • A. ZK
    ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
  • B. ZKF
    ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
  • C. ZKL
    ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
  • D. KZJ
    KZJ is the Indian Railways station code for Kazipet Junction, a major railway junction in Telangana, India.
  • E. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011995ff481908bbca9f9cfb41bf0 completed May 10, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0012669ff48190884367b92962a6d4 completed May 10, 2026, 5:06 a.m.
Created at: April 10, 2026, 5:04 a.m.