Triple
T6609097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stagecoach Manchester |
E149190
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Sharston depot
Sharston depot is a bus operating and maintenance facility in the Sharston area of Manchester used by Stagecoach Manchester for its local services.
|
E608200
|
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: Sharston depot | Statement: [Stagecoach Manchester, hasDepot, Sharston depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharston depot Context triple: [Stagecoach Manchester, hasDepot, Sharston depot]
-
A.
Northfields depot
Northfields depot is a London Underground maintenance and stabling facility serving trains on the Piccadilly line in west London.
-
B.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Scaleybark station
Scaleybark station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
E.
Stonebridge Park depot
Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
- 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: Sharston depot Triple: [Stagecoach Manchester, hasDepot, Sharston depot]
Generated description
Sharston depot is a bus operating and maintenance facility in the Sharston area of Manchester used by Stagecoach Manchester for its local services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharston depot Target entity description: Sharston depot is a bus operating and maintenance facility in the Sharston area of Manchester used by Stagecoach Manchester for its local services.
-
A.
Northfields depot
Northfields depot is a London Underground maintenance and stabling facility serving trains on the Piccadilly line in west London.
-
B.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Scaleybark station
Scaleybark station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
E.
Stonebridge Park depot
Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af31c4748190ab5027771c9ce5b2 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43f14148190882b9b8f2f95e22c |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e8584bd08190bb45747aca6e9327 |
completed | March 27, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8dcc9bc819099ba39f67677195b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 1:57 p.m.