Triple

T7247524
Position Surface form Disambiguated ID Type / Status
Subject Colmar station E156512 entity
Predicate hasStationCode P1289 FINISHED
Object CMR
CMR is the station code assigned to Colmar railway station in France.
 E651853 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: CMR | Statement: [Colmar station, hasStationCode, CMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CMR
Context triple: [Colmar station, hasStationCode, CMR]
  • A. CMR
    CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
  • B. CMR
    CMR is the commonly used abbreviation for the Code of Massachusetts Regulations, the official compilation of administrative rules and regulations issued by Massachusetts state agencies.
  • C. CMR
    CMR is an international convention that standardizes conditions and documentation for the cross-border transport of goods by road among its signatory countries.
  • D. CRCM
    CRCM is the stock ticker symbol for Care.com, an online marketplace that connects families with caregivers for childcare, senior care, and other household services.
  • E. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • 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: CMR
Triple: [Colmar station, hasStationCode, CMR]
Generated description
CMR is the station code assigned to Colmar railway station in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CMR
Target entity description: CMR is the station code assigned to Colmar railway station in France.
  • A. CMR
    CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
  • B. CMR
    CMR is the commonly used abbreviation for the Code of Massachusetts Regulations, the official compilation of administrative rules and regulations issued by Massachusetts state agencies.
  • C. CMR
    CMR is an international convention that standardizes conditions and documentation for the cross-border transport of goods by road among its signatory countries.
  • D. CRCM
    CRCM is the stock ticker symbol for Care.com, an online marketplace that connects families with caregivers for childcare, senior care, and other household services.
  • E. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea749fb08190841c0aa8c5bd0727 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d39dab6081909842bfa37ff3f972 completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d4690adc81909abbfb7a756f453d completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d5137efc81908745cca73b112f0c completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:56 p.m.