Triple
T4600690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southampton Central railway station |
E100311
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
SOU
SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
|
E455613
|
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: SOU | Statement: [Southampton Central railway station, stationCode, SOU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOU Context triple: [Southampton Central railway station, stationCode, SOU]
-
A.
SOU
SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
-
B.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
C.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
D.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
E.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
- 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: SOU Triple: [Southampton Central railway station, stationCode, SOU]
Generated description
SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOU Target entity description: SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
-
A.
SOU
SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
-
B.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
C.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
D.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
E.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd597346a08190b47eda3b73076f8b |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa5a7aac8190b540b80816d55051 |
completed | March 21, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_69bdfb37b1448190a4001b9ed2b79012 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc105e6c8190b21e3c8e7076e9ff |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:11 p.m.