Triple

T15338843
Position Surface form Disambiguated ID Type / Status
Subject Yeovil Pen Mill railway station E366736 entity
Predicate hasStationCode P1289 FINISHED
Object YVP
YVP is the National Rail station code for Yeovil Pen Mill railway station in Somerset, England.
 E1151380 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: YVP | Statement: [Yeovil Pen Mill railway station, hasStationCode, YVP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YVP
Context triple: [Yeovil Pen Mill railway station, hasStationCode, YVP]
  • A. YVP
    YVP is the IATA airport code for Kuujjuaq Airport, a regional airport serving the community of Kuujjuaq in northern Quebec, Canada.
  • B. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • C. CYVP
    CYVP is the ICAO airport code for Kuujjuaq Airport, a regional airport serving the community of Kuujjuaq in northern Quebec, Canada.
  • D. VYMD
    VYMD is the ICAO airport code for Mandalay International Airport in Myanmar.
  • E. YP
    YP is the commonly used abbreviation for the Yocto Project, an open-source collaboration project that provides tools and templates for creating custom Linux-based systems for embedded devices.
  • 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: YVP
Triple: [Yeovil Pen Mill railway station, hasStationCode, YVP]
Generated description
YVP is the National Rail station code for Yeovil Pen Mill railway station in Somerset, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YVP
Target entity description: YVP is the National Rail station code for Yeovil Pen Mill railway station in Somerset, England.
  • A. YVP
    YVP is the IATA airport code for Kuujjuaq Airport, a regional airport serving the community of Kuujjuaq in northern Quebec, Canada.
  • B. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • C. CYVP
    CYVP is the ICAO airport code for Kuujjuaq Airport, a regional airport serving the community of Kuujjuaq in northern Quebec, Canada.
  • D. VYMD
    VYMD is the ICAO airport code for Mandalay International Airport in Myanmar.
  • E. YP
    YP is the commonly used abbreviation for the Yocto Project, an open-source collaboration project that provides tools and templates for creating custom Linux-based systems for embedded devices.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f2ee9c819080fce24ed13a07c7 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff02a62dcc819087eddd2f0b4c29cb completed May 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ff036153588190ae46fcde257eb3cb completed May 9, 2026, 9:50 a.m.
Created at: April 10, 2026, 3:17 a.m.