Triple
T789651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens Road depot |
E16882
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Queens Road
Queens Road is a street that serves as a key thoroughfare and location for the Queens Road depot.
|
E180333
|
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: Queens Road | Statement: [Queens Road depot, locatedOnStreet, Queens Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queens Road Context triple: [Queens Road depot, locatedOnStreet, Queens Road]
-
A.
Columbia Road
Columbia Road is a former name of the JFK/UMass transit station in Boston, Massachusetts.
-
B.
Hills Road
Hills Road is a major thoroughfare in Cambridge, England, known for connecting the city centre with key institutions such as the Cambridge Biomedical Campus and several educational establishments.
-
C.
Weston Road
Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
-
D.
Moor Road
Moor Road is a tram stop on Greater Manchester’s Metrolink light rail network in the UK.
-
E.
Oxford Road
Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
- 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: Queens Road Triple: [Queens Road depot, locatedOnStreet, Queens Road]
Generated description
Queens Road is a street that serves as a key thoroughfare and location for the Queens Road depot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queens Road Target entity description: Queens Road is a street that serves as a key thoroughfare and location for the Queens Road depot.
-
A.
Columbia Road
Columbia Road is a former name of the JFK/UMass transit station in Boston, Massachusetts.
-
B.
Hills Road
Hills Road is a major thoroughfare in Cambridge, England, known for connecting the city centre with key institutions such as the Cambridge Biomedical Campus and several educational establishments.
-
C.
Weston Road
Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
-
D.
Moor Road
Moor Road is a tram stop on Greater Manchester’s Metrolink light rail network in the UK.
-
E.
Oxford Road
Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7841b0c8190859ecd247e32c6ec |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad467b4fe88190b5018250420755d2 |
completed | March 8, 2026, 9:50 a.m. |
| NEDg | Description generation | batch_69ad470069f08190b886041d1a1c7707 |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad475d9528819086546aae6db74e19 |
completed | March 8, 2026, 9:54 a.m. |
Created at: March 1, 2026, 7:38 p.m.