Triple
T4992931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown San Francisco |
E112174
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Kearny Street |
E136697
|
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: Kearny Street | Statement: [Downtown San Francisco, hasStreet, Kearny Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kearny Street Context triple: [Downtown San Francisco, hasStreet, Kearny Street]
-
A.
Kearny Street
chosen
Kearny Street is a major historic thoroughfare in San Francisco that runs through downtown and Chinatown, lined with shops, offices, and cultural landmarks.
-
B.
Monroe Street
Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
-
C.
Hudson Street
Hudson Street is a major north–south thoroughfare in Lower Manhattan, New York City, running through neighborhoods such as Tribeca and the West Village.
-
D.
Keefer Street
Keefer Street is a notable thoroughfare in Vancouver’s Chinatown, known for its historic buildings, cultural landmarks, and vibrant local businesses.
-
E.
Bayard Street
Bayard Street is a prominent thoroughfare in Manhattan’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural landmarks.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729d3d448190a414a003a75104f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1351018b48190910c3dad6c0f9850 |
completed | March 23, 2026, 12:41 p.m. |
Created at: March 20, 2026, 1:34 p.m.