Triple
T24357142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Ysidro Ranch |
E613953
|
entity |
| Predicate | landAreaType |
P86936
|
FINISHED |
| Object | garden estate |
—
|
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: garden estate | Statement: [San Ysidro Ranch, landAreaType, garden estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landAreaType Context triple: [San Ysidro Ranch, landAreaType, garden estate]
-
A.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
-
B.
landAreaCharacteristic
chosen
Indicates a relationship where a land area possesses a particular attribute, quality, or characteristic.
-
C.
landAreaSquareMiles
Indicates the size of a geographic area measured in square miles.
-
D.
hasLandAreaRange
Indicates that an entity’s land area falls within a specified minimum-to-maximum range.
-
E.
landAreaShare
Indicates the proportion of a larger geographic area’s total land area that is accounted for by a specific sub-area or unit.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.