Triple
T12978014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Altos Hills |
E321579
|
entity |
| Predicate | hasOpenSpaceEasements |
P107876
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Los Altos Hills, hasOpenSpaceEasements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenSpaceEasements Context triple: [Los Altos Hills, hasOpenSpaceEasements, true]
-
A.
hasOpenSpacePreserve
Indicates that one entity possesses, contains, or is associated with an area designated as an open space preserve.
-
B.
hasNearbyPublicLand
Indicates that one entity is located close to an area of public land, such as parks, reserves, or other publicly accessible open spaces.
-
C.
isPublicLand
Indicates that a given area of land is owned or managed by a government or public authority and is accessible or designated for use by the general public.
-
D.
hasGreenSpaces
Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
-
E.
hasNumberOfAcres
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
- F. None of above. chosen
Provenance (4 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:38 p.m.