Triple
T14553333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Surrender |
E341474
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Haight Street |
E277710
|
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: Haight Street | Statement: [New Surrender, hasTrack, Haight Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haight Street Context triple: [New Surrender, hasTrack, Haight Street]
-
A.
Haight Street
chosen
Haight Street is a famous San Francisco thoroughfare historically known as the heart of the 1960s counterculture and hippie movement.
-
B.
Fillmore Street
Fillmore Street is a major north–south thoroughfare in San Francisco known for its shopping, dining, and vibrant neighborhood atmosphere.
-
C.
Fillmore Street
Fillmore Street is a local roadway that forms part of the neighborhood boundary of Rhawnhurst in Northeast Philadelphia, Pennsylvania.
-
D.
Vallejo Street
Vallejo Street is a notable San Francisco street that runs through several neighborhoods, including the steep and scenic Russian Hill area.
-
E.
Alameda Street
Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.