Triple
T16909526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farnborough (Main) railway station |
E410158
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
FNB
FNB is the National Rail station code for Farnborough (Main) railway station in Hampshire, England.
|
E1240203
|
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: FNB | Statement: [Farnborough (Main) railway station, stationCode, FNB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNB Context triple: [Farnborough (Main) railway station, stationCode, FNB]
-
A.
FNB
FNB is a major South African financial institution offering a wide range of banking and financial services to individuals and businesses.
-
B.
Nedbank
Nedbank is one of South Africa’s major financial institutions, offering a wide range of banking and financial services to retail, business, and corporate clients.
-
C.
Investec
Investec is an international specialist banking and asset management group headquartered in South Africa and the United Kingdom.
-
D.
United Bank for Africa
United Bank for Africa is a leading pan-African financial services group headquartered in Nigeria, offering banking and related services across numerous African countries and international financial centers.
-
E.
NBU
NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
- 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: FNB Triple: [Farnborough (Main) railway station, stationCode, FNB]
Generated description
FNB is the National Rail station code for Farnborough (Main) railway station in Hampshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNB Target entity description: FNB is the National Rail station code for Farnborough (Main) railway station in Hampshire, England.
-
A.
FNB
FNB is a major South African financial institution offering a wide range of banking and financial services to individuals and businesses.
-
B.
Nedbank
Nedbank is one of South Africa’s major financial institutions, offering a wide range of banking and financial services to retail, business, and corporate clients.
-
C.
Investec
Investec is an international specialist banking and asset management group headquartered in South Africa and the United Kingdom.
-
D.
United Bank for Africa
United Bank for Africa is a leading pan-African financial services group headquartered in Nigeria, offering banking and related services across numerous African countries and international financial centers.
-
E.
NBU
NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9cb23d08190b1757015f4374e85 |
completed | May 10, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ca99c7108190a4be2cb08b414888 |
completed | May 10, 2026, 6:12 p.m. |
Created at: April 10, 2026, 5:30 a.m.