Triple

T9665072
Position Surface form Disambiguated ID Type / Status
Subject Gobowen railway station E233681 entity
Predicate stationCode P1289 FINISHED
Object GOB
GOB is the three-letter National Rail station code for Gobowen railway station in Shropshire, England.
 E812887 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: GOB | Statement: [Gobowen railway station, stationCode, GOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GOB
Context triple: [Gobowen railway station, stationCode, GOB]
  • A. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • B. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • C. GOBE
    GOBE refers to the Great Ordovician Biodiversification Event, a major evolutionary radiation during the Ordovician period when marine life rapidly diversified and global biodiversity dramatically increased.
  • D. GOJ
    GOJ is the IATA airport code for Strigino International Airport serving Nizhny Novgorod, Russia.
  • E. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • 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: GOB
Triple: [Gobowen railway station, stationCode, GOB]
Generated description
GOB is the three-letter National Rail station code for Gobowen railway station in Shropshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GOB
Target entity description: GOB is the three-letter National Rail station code for Gobowen railway station in Shropshire, England.
  • A. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • B. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • C. GOBE
    GOBE refers to the Great Ordovician Biodiversification Event, a major evolutionary radiation during the Ordovician period when marine life rapidly diversified and global biodiversity dramatically increased.
  • D. GOJ
    GOJ is the IATA airport code for Strigino International Airport serving Nizhny Novgorod, Russia.
  • E. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a17eea08190825404b01b0e8d96 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aee8ef8819080ce061f3d145712 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b34d14881909b8da862c12f8727 completed April 4, 2026, 10:05 p.m.
Created at: March 30, 2026, 8:14 p.m.