Triple
T19300022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hacienda Santa Bárbara |
E482667
|
entity |
| Predicate | hasIndoorOutdoorSpaces |
P8552
|
FINISHED |
| Object | mixed indoor and outdoor areas |
—
|
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: mixed indoor and outdoor areas | Statement: [Hacienda Santa Bárbara, hasIndoorOutdoorSpaces, mixed indoor and outdoor areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorOutdoorSpaces Context triple: [Hacienda Santa Bárbara, hasIndoorOutdoorSpaces, mixed indoor and outdoor areas]
-
A.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
B.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
C.
indoorOrOutdoor
chosen
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
D.
hasOutdoorSpaceType
Indicates the specific kind of outdoor area associated with an entity, such as a balcony, terrace, garden, or patio.
-
E.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc895c68819096d06746f1b84e06 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.