Triple
T20215473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seaford railway station |
E493609
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SEF
SEF is the National Rail station code for Seaford railway station in East Sussex, England.
|
E1418515
|
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: SEF | Statement: [Seaford railway station, hasStationCode, SEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEF Context triple: [Seaford railway station, hasStationCode, SEF]
-
A.
SEF
SEF is a German vehicle registration code used for cars registered in the district of Neustadt an der Aisch-Bad Windsheim in Bavaria.
-
B.
SEDEF
SEDEF is the Spanish Ministry of Defence’s Secretariat of State responsible for high-level planning, management, and administration of national defense policy and resources.
-
C.
SE-F
SE-F is the ISO 3166-2 subdivision code assigned to Jönköping County in Sweden.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SIF
SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
- 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: SEF Triple: [Seaford railway station, hasStationCode, SEF]
Generated description
SEF is the National Rail station code for Seaford railway station in East Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEF Target entity description: SEF is the National Rail station code for Seaford railway station in East Sussex, England.
-
A.
SEF
SEF is a German vehicle registration code used for cars registered in the district of Neustadt an der Aisch-Bad Windsheim in Bavaria.
-
B.
SEDEF
SEDEF is the Spanish Ministry of Defence’s Secretariat of State responsible for high-level planning, management, and administration of national defense policy and resources.
-
C.
SE-F
SE-F is the ISO 3166-2 subdivision code assigned to Jönköping County in Sweden.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SIF
SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8cc8c8190889ecadc702010d8 |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843f447b481908faa28cc504fcea9 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0845367ccc8190b1232173205e750d |
completed | May 16, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.