Triple

T18373286
Position Surface form Disambiguated ID Type / Status
Subject Cricklewood railway station E446242 entity
Predicate stationCode P1289 FINISHED
Object CRI
CRI is the National Rail station code for Cricklewood railway station in north-west London, England.
 E1321210 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: CRI | Statement: [Cricklewood railway station, stationCode, CRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CRI
Context triple: [Cricklewood railway station, stationCode, CRI]
  • A. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • B. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • C. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • D. CRIS
    CRIS is a 32-bit embedded microprocessor architecture developed by Axis Communications, primarily used in their network devices and routers.
  • E. CRIPA
    CRIPA is a U.S. federal law that authorizes the Department of Justice to investigate and address systemic civil rights violations in state or local institutions such as prisons, jails, and mental health facilities.
  • 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: CRI
Triple: [Cricklewood railway station, stationCode, CRI]
Generated description
CRI is the National Rail station code for Cricklewood railway station in north-west London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CRI
Target entity description: CRI is the National Rail station code for Cricklewood railway station in north-west London, England.
  • A. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • B. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • C. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • D. CRIS
    CRIS is a 32-bit embedded microprocessor architecture developed by Axis Communications, primarily used in their network devices and routers.
  • E. CRIPA
    CRIPA is a U.S. federal law that authorizes the Department of Justice to investigate and address systemic civil rights violations in state or local institutions such as prisons, jails, and mental health facilities.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517561edc8190b5d2834707ab662b completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77aa5788190bd1db34041de4966 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d83fe9a08190b18b9f61ee606372 completed May 13, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a03d915215c819090023094f1fc47f1 completed May 13, 2026, 1:51 a.m.
Created at: April 10, 2026, 10:45 a.m.