Triple
T5836291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayes Valley |
E129478
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Hayes Street |
E265609
|
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: Hayes Street | Statement: [Hayes Valley, hasStreet, Hayes Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayes Street Context triple: [Hayes Valley, hasStreet, Hayes Street]
-
A.
Hayes Street
chosen
Hayes Street is a notable thoroughfare in San Francisco, California, known for running through several central neighborhoods and bordering the historic Alamo Square area.
-
B.
Heath Street
Heath Street is a light rail station in Boston, Massachusetts, serving as the southern terminus of the MBTA Green Line E branch.
-
C.
Prescott Street
Prescott Street is a street in Cambridge, Massachusetts, located in the Harvard University area near the Carpenter Center for the Visual Arts.
-
D.
Bayard Street
Bayard Street is a prominent thoroughfare in Manhattan’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural landmarks.
-
E.
Quincy Street
Quincy Street is a notable street in Cambridge, Massachusetts, that runs through Harvard University's campus and is lined with several important academic and cultural buildings.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a358708190bfce78e7bd75db36 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6035cf86081909603cec9aa5bd9d6 |
completed | April 20, 2026, 10:43 a.m. |
Created at: March 22, 2026, 3:54 p.m.