Triple
T34605642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 9 (San Francisco Supervisorial Districts) |
E888589
|
entity |
| Predicate | containsParks |
P22590
|
FINISHED |
| Object | Bernal Heights Park |
—
|
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: Bernal Heights Park | Statement: [District 9 (San Francisco Supervisorial Districts), containsParks, Bernal Heights Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsParks Context triple: [District 9 (San Francisco Supervisorial Districts), containsParks, Bernal Heights Park]
-
A.
hasParks
chosen
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
B.
hasNumberOfParks
Indicates the quantity of parks associated with a given entity.
-
C.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
D.
hasParksAndLakes
Indicates that the subject possesses or includes both parks and lakes within its area or domain.
-
E.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
- F. None of above.
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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a007899cadc8190a04edd503eaf6514 |
completed | May 10, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_6a0078493e088190b0c5047cbe75d304 |
completed | May 10, 2026, 12:21 p.m. |
Created at: May 1, 2026, 2:03 a.m.