Triple
T7446830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Rafael, California |
E171903
|
entity |
| Predicate | hasDowntownType |
P30435
|
FINISHED |
| Object | historic downtown core |
—
|
LITERAL 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: historic downtown core | Statement: [San Rafael, California, hasDowntownType, historic downtown core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDowntownType Context triple: [San Rafael, California, hasDowntownType, historic downtown core]
-
A.
hasDowntown
chosen
Indicates that a place or city possesses a central downtown area.
-
B.
isDowntownHub
Indicates that a location functions as a central, primary hub within a city’s downtown area.
-
C.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
-
D.
isDowntownCoreOf
Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
-
E.
isDowntownAxis
Indicates that something serves as or lies along the main central axis of a downtown area.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f371be2081908feaeb9392cb65fe |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.