Triple
T8061190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Line (DART) |
E188122
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Park Lane Station |
E275256
|
NE FINISHED |
How this triple was built (2 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: Park Lane Station | Statement: [Orange Line (DART), hasStation, Park Lane Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Lane Station Context triple: [Orange Line (DART), hasStation, Park Lane Station]
-
A.
Park Lane station
chosen
Park Lane station is a public transit stop on Dallas Area Rapid Transit’s light rail system in Dallas, Texas.
-
B.
Vauxhall Station
Vauxhall Station is a major transport hub in south London that serves both National Rail services and the London Underground on the Victoria line.
-
C.
Marylebone station
Marylebone station is a central London railway terminus and London Underground station serving Chiltern Railways services and the Bakerloo line.
-
D.
Robert Street Station
Robert Street Station is a light rail stop in Saint Paul, Minnesota, serving passengers on the METRO Green Line.
-
E.
Edgware Road Station
Edgware Road Station is a London Underground station in central London serving multiple Tube lines and acting as a key interchange near Paddington.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcc61c0819085edc26e75c5f6d5 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe5c1850819097f82cfa7f582e8d |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:26 p.m.