Triple
T9616710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tienda Encantada |
E232236
|
entity |
| Predicate | locatedIndoors |
P8552
|
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: [La Tienda Encantada, locatedIndoors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedIndoors Context triple: [La Tienda Encantada, locatedIndoors, true]
-
A.
indoorOrOutdoor
chosen
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
-
C.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
D.
locatedInBuildingUsedAs
Indicates that something is located inside a building that is being used for a specified purpose or function.
-
E.
indoorLocationAdvantage
Indicates that one entity has a positional or strategic advantage over another due to being located indoors.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.