Triple
T3568527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenleytown |
E75510
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Van Ness |
E206713
|
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: Van Ness | Statement: [Tenleytown, adjacentTo, Van Ness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Ness Context triple: [Tenleytown, adjacentTo, Van Ness]
-
A.
Van Ness
chosen
Van Ness is a residential and commercial neighborhood in Northwest Washington, D.C., known for its embassies, apartment buildings, and the University of the District of Columbia campus.
-
B.
Van Ness Avenue
Van Ness Avenue is a major north–south thoroughfare in San Francisco known for its wide boulevard, historic architecture, and role as a key transportation corridor through the city.
-
C.
Alameda Street
Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
-
D.
Montgomery Street
Montgomery Street is a major thoroughfare in San Francisco’s Financial District, known as the historic center of the city’s banking and financial industry.
-
E.
Vallejo Street
Vallejo Street is a notable San Francisco street that runs through several neighborhoods, including the steep and scenic Russian Hill area.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f01c47d881908e9489db7bf47b11 |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:21 p.m.