Triple
T12587183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Midlands Metro |
E300495
|
entity |
| Predicate | formerOperator |
P179
|
FINISHED |
| Object |
Travel Midland Metro
Travel Midland Metro was the original operating company responsible for running light rail services on the Midland Metro system in England’s West Midlands region.
|
E992529
|
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: Travel Midland Metro | Statement: [West Midlands Metro, formerOperator, Travel Midland Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travel Midland Metro Context triple: [West Midlands Metro, formerOperator, Travel Midland Metro]
-
A.
Midland town centre
Midland town centre is the main commercial and civic hub of the city of Midland, featuring shops, services, and public amenities close to Midland Harbour.
-
B.
Midland
Midland is a major commercial and transport hub in the eastern suburbs of Perth, Western Australia.
-
C.
Midland
Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
-
D.
Midland
Midland was a short-lived Formula One constructor that competed in the mid-2000s after taking over the Jordan Grand Prix team.
-
E.
Midland
Midland is a small town in central Ontario, Canada, known as a gateway to Georgian Bay and the 30,000 Islands region.
- 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: Travel Midland Metro Triple: [West Midlands Metro, formerOperator, Travel Midland Metro]
Generated description
Travel Midland Metro was the original operating company responsible for running light rail services on the Midland Metro system in England’s West Midlands region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travel Midland Metro Target entity description: Travel Midland Metro was the original operating company responsible for running light rail services on the Midland Metro system in England’s West Midlands region.
-
A.
Midland town centre
Midland town centre is the main commercial and civic hub of the city of Midland, featuring shops, services, and public amenities close to Midland Harbour.
-
B.
Midland
Midland is a major commercial and transport hub in the eastern suburbs of Perth, Western Australia.
-
C.
Midland
Midland was a short-lived Formula One constructor that competed in the mid-2000s after taking over the Jordan Grand Prix team.
-
D.
Midland
Midland is a small town in central Ontario, Canada, known as a gateway to Georgian Bay and the 30,000 Islands region.
-
E.
Midland
Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613e31fc8190bdb98f91c9e6c967 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:05 p.m.