Triple
T1153234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Altos Hills, California |
E23723
|
entity |
| Predicate | hasOpenSpace |
P5611
|
FINISHED |
| Object | Foothills Open Space Preserve vicinity |
—
|
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: Foothills Open Space Preserve vicinity | Statement: [Los Altos Hills, California, hasOpenSpace, Foothills Open Space Preserve vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenSpace Context triple: [Los Altos Hills, California, hasOpenSpace, Foothills Open Space Preserve vicinity]
-
A.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
B.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
C.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
D.
openSpaceType
chosen
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
E.
hasCommunitySpace
Indicates that an entity provides or includes a shared physical or virtual area intended for communal use, activities, or gatherings.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.