Triple
T15118765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station Road, Runcorn |
E361110
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Station Road
Station Road is a street in the town of Runcorn, Cheshire, England, likely situated near or leading to a local railway station.
|
E1521057
|
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: Station Road | Statement: [Station Road, Runcorn, hasName, Station Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Station Road Context triple: [Station Road, Runcorn, hasName, Station Road]
-
A.
Station Road
Station Road is a commercial street in Upminster known for its local shops and services.
-
B.
Station Road
Station Road is a main thoroughfare in Harrow, London, serving as a key access route to Harrow & Wealdstone station and the surrounding commercial area.
-
C.
Station Road
Station Road is a main thoroughfare in the North London suburb of Edgware, forming part of its central commercial and transport area.
-
D.
Station Road
Station Road is a street in Cambridge, England, known for connecting the city’s central railway station area with major routes such as Hills Road.
-
E.
Station Road East
Station Road East is a main street in the town of Oxted in Surrey, England, forming part of its central commercial and transport area.
- 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: Station Road Triple: [Station Road, Runcorn, hasName, Station Road]
Generated description
Station Road is a street in the town of Runcorn, Cheshire, England, likely situated near or leading to a local railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Station Road Target entity description: Station Road is a street in the town of Runcorn, Cheshire, England, likely situated near or leading to a local railway station.
-
A.
Station Road
Station Road is a street in Cambridge, England, known for connecting the city’s central railway station area with major routes such as Hills Road.
-
B.
Station Road
Station Road is a commercial street in Upminster known for its local shops and services.
-
C.
Station Road
Station Road is a main thoroughfare in Harrow, London, serving as a key access route to Harrow & Wealdstone station and the surrounding commercial area.
-
D.
Station Road
Station Road is a main thoroughfare in the North London suburb of Edgware, forming part of its central commercial and transport area.
-
E.
Station Road East
Station Road East is a main street in the town of Oxted in Surrey, England, forming part of its central commercial and transport area.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059e036c8190959ff3bde8f2356f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96dfbd5481908eaaa45696e5b09e |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a980276bc81908e9f6c6596880a8d |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a986105bc819082556e8dec156ab6 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 10, 2026, 3:06 a.m.