Triple
T17756945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dempster station |
E443264
|
entity |
| Predicate | hasStreetNameOrigin |
P128235
|
FINISHED |
| Object | Dempster Street |
—
|
NE NERFINISHED |
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: Dempster Street | Statement: [Dempster station, hasStreetNameOrigin, Dempster Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetNameOrigin Context triple: [Dempster station, hasStreetNameOrigin, Dempster Street]
-
A.
hasStreetNameLanguage
Indicates that the language in which a street name is expressed is specified.
-
B.
hasFormerStreetName
Indicates that an entity (such as a street or place) was previously known by a different street name.
-
C.
hasStreetNameElement
Indicates that an address or location includes a specific street name component as part of its full designation.
-
D.
hasStreetNickname
Indicates that an entity is known by a particular informal or colloquial name used on the street or in everyday speech.
-
E.
hasStreetNamingPattern
Indicates that there is a characteristic or systematic way in which streets are named in relation to a given entity.
- F. None of above. chosen
Provenance (4 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841f29f08190b1a1e9624d88120f |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.