Triple
T22238182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Haight |
E549646
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Haight-Ashbury |
—
|
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: Haight-Ashbury | Statement: [Lower Haight, near, Haight-Ashbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haight-Ashbury Context triple: [Lower Haight, near, Haight-Ashbury]
-
A.
Haight-Ashbury
chosen
Haight-Ashbury is a San Francisco neighborhood famous as the epicenter of 1960s counterculture, particularly the hippie movement and psychedelic rock scene.
-
B.
Alamo Square
Alamo Square is a San Francisco neighborhood and park best known for its iconic Victorian houses and panoramic views of the city skyline.
-
C.
Eureka Valley
Eureka Valley is a San Francisco neighborhood best known for encompassing the historic and culturally significant Castro District, a major center of LGBTQ+ life and activism.
-
D.
Mission District, San Francisco
Mission District, San Francisco is a historically Latino, culturally vibrant neighborhood known for its murals, nightlife, and namesake 18th-century Spanish mission.
-
E.
Hayes Valley
Hayes Valley is a trendy San Francisco neighborhood known for its boutiques, restaurants, and vibrant arts and nightlife scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.