Triple
T34787459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa del Libro |
E1002849
|
entity |
| Predicate | hasPhysicalStoresIn |
P26597
|
FINISHED |
| Object | Madrid |
—
|
NE NERFINISHED |
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: Madrid | Statement: [Casa del Libro, hasPhysicalStoresIn, Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalStoresIn Context triple: [Casa del Libro, hasPhysicalStoresIn, Madrid]
-
A.
hasRetailStores
Indicates that an entity operates or possesses one or more physical retail store locations.
-
B.
hasRetailPresenceIn
chosen
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
C.
hasOutletStores
Indicates that an entity operates or is associated with one or more outlet retail stores.
-
D.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
E.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 3:59 p.m.