Triple

T16000612
Position Surface form Disambiguated ID Type / Status
Subject Seaham railway station E388080 entity
Predicate hasStationCode P1289 FINISHED
Object SEA
SEA is the National Rail station code assigned to Seaham railway station in County Durham, England.
 E1187823 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: SEA | Statement: [Seaham railway station, hasStationCode, SEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEA
Context triple: [Seaham railway station, hasStationCode, SEA]
  • A. SEA
    SEA is the high-speed rail line designation used for the LGV Sud Europe Atlantique route in France.
  • B. SEA
    SEA is an educational organization that offers ocean-focused study abroad and research programs combining marine science, environmental studies, and sailing experience.
  • C. SEA
    SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
  • D. SEA
    SEA is the commonly used abbreviation for the Single European Act, a landmark 1986 treaty that significantly advanced European Community integration and paved the way for the single market.
  • E. SEA
    SEA is the abbreviated name for the Sports & Exhibition Authority of Pittsburgh and Allegheny County, the public agency that develops and manages major sports and convention facilities in the Pittsburgh region.
  • 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: SEA
Triple: [Seaham railway station, hasStationCode, SEA]
Generated description
SEA is the National Rail station code assigned to Seaham railway station in County Durham, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEA
Target entity description: SEA is the National Rail station code assigned to Seaham railway station in County Durham, England.
  • A. SEA
    SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
  • B. SEA
    SEA is the high-speed rail line designation used for the LGV Sud Europe Atlantique route in France.
  • C. SEA
    SEA is the commonly used abbreviation for the Single European Act, a landmark 1986 treaty that significantly advanced European Community integration and paved the way for the single market.
  • D. SEA
    SEA is the abbreviated name for the Sports & Exhibition Authority of Pittsburgh and Allegheny County, the public agency that develops and manages major sports and convention facilities in the Pittsburgh region.
  • E. SEA
    SEA is an educational organization that offers ocean-focused study abroad and research programs combining marine science, environmental studies, and sailing experience.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc44e8b0c81909b8af9006aa5fc4d completed May 9, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffc4bdf840819085e0a537e126c704 completed May 9, 2026, 11:35 p.m.
Created at: April 10, 2026, 4:55 a.m.