Triple
T16723291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesmond Metro station |
E406401
|
entity |
| Predicate | servesLine |
P839
|
FINISHED |
| Object |
Green Line
The Green Line is one of the passenger rail routes on the Tyne and Wear Metro network in North East England.
|
E149604
|
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: Green Line | Statement: [Jesmond Metro station, servesLine, Green Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Line Context triple: [Jesmond Metro station, servesLine, Green Line]
-
A.
Green Line
The Green Line is the oldest and busiest line of the Athens Metro, running primarily at ground level and connecting key northern and southern suburbs through central Athens.
-
B.
Green Line
The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
-
C.
Green Line
The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
-
D.
Green Line
Green Line is a hybrid-oriented trim level of the Saturn Aura midsize sedan designed to offer improved fuel efficiency and lower emissions.
-
E.
Green Line
The Green Line is a light rail service route within the San Diego Trolley system that connects key destinations across the San Diego metropolitan 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: Green Line Triple: [Jesmond Metro station, servesLine, Green Line]
Generated description
The Green Line is one of the passenger rail routes on the Tyne and Wear Metro network in North East England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Line Target entity description: The Green Line is one of the passenger rail routes on the Tyne and Wear Metro network in North East England.
-
A.
Green Line
chosen
The Green Line is one of the color-coded routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in northeast England.
-
B.
Green Line
The Green Line is a light rail route in Dallas, Texas, operated by Dallas Area Rapid Transit (DART), running through key areas including downtown and connecting several suburbs.
-
C.
Green Line
The Green Line is a light rail service within Salt Lake City's TRAX system that connects key destinations across the metropolitan area.
-
D.
Green Line
The Green Line is one of the light rail routes in Houston’s METRORail system, serving the city’s East End and connecting it to downtown.
-
E.
Green Line
The Green Line is a major rapid transit route on the Taipei Metro system that connects the Songshan and Xindian districts.
- F. None of above.
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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38745d2048190b476e5aa83ec7fec |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a518019881909a7c5ef344966579 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a58e66cc8190b52f7281e3efeca7 |
completed | May 10, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:20 a.m.