Triple

T11552405
Position Surface form Disambiguated ID Type / Status
Subject Northfield railway station E273928 entity
Predicate hasStationCode P1289 FINISHED
Object NFD
NFD is the National Rail station code for Northfield railway station in Birmingham, England.
 E932735 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: NFD | Statement: [Northfield railway station, hasStationCode, NFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NFD
Context triple: [Northfield railway station, hasStationCode, NFD]
  • A. Nfk
    Nfk is the currency symbol used to denote the Eritrean nakfa, the official monetary unit of Eritrea.
  • B. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • C. NF
    NF was the abbreviation for the National Front of the German Democratic Republic, a political alliance dominated by the ruling Socialist Unity Party that coordinated and controlled all legal political activity in East Germany.
  • D. FN
    FN is the vehicle registration code used on license plates for vehicles registered in the German city of Friedrichshafen.
  • E. ND
    ND is the commonly used abbreviation for New Democracy, a major center-right political party in Greece.
  • 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: NFD
Triple: [Northfield railway station, hasStationCode, NFD]
Generated description
NFD is the National Rail station code for Northfield railway station in Birmingham, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NFD
Target entity description: NFD is the National Rail station code for Northfield railway station in Birmingham, England.
  • A. Nfk
    Nfk is the currency symbol used to denote the Eritrean nakfa, the official monetary unit of Eritrea.
  • B. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • C. NF
    NF was the abbreviation for the National Front of the German Democratic Republic, a political alliance dominated by the ruling Socialist Unity Party that coordinated and controlled all legal political activity in East Germany.
  • D. FN
    FN is the vehicle registration code used on license plates for vehicles registered in the German city of Friedrichshafen.
  • E. ND
    ND is the official two-letter United States Postal Service abbreviation for the state of North Dakota.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.