Triple
T14038952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bootle Oriel Road railway station |
E337788
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
BOT
BOT is the National Rail station code for Bootle Oriel Road railway station in Merseyside, England.
|
E1075110
|
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: BOT | Statement: [Bootle Oriel Road railway station, stationCode, BOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BOT Context triple: [Bootle Oriel Road railway station, stationCode, BOT]
-
A.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
B.
BOT
BOT is the official vehicle registration code used on license plates for the German city of Bottrop.
-
C.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
D.
BAT
BAT is a high-energy astrophysics instrument designed to rapidly detect and locate gamma-ray bursts in space.
-
E.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
- 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: BOT Triple: [Bootle Oriel Road railway station, stationCode, BOT]
Generated description
BOT is the National Rail station code for Bootle Oriel Road railway station in Merseyside, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BOT Target entity description: BOT is the National Rail station code for Bootle Oriel Road railway station in Merseyside, England.
-
A.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
B.
BOT
BOT is the official vehicle registration code used on license plates for the German city of Bottrop.
-
C.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
D.
BAT
BAT is a high-energy astrophysics instrument designed to rapidly detect and locate gamma-ray bursts in space.
-
E.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33bc20081909abea7e64d1bd578 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc53729d081908b74532d2ed54b7a |
completed | May 6, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc5d76cdc8190970778580437cf72 |
completed | May 6, 2026, 10:51 p.m. |
Created at: April 9, 2026, 10:20 p.m.