Triple
T700668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle Felipe IV, Madrid |
E13990
|
entity |
| Predicate | hasPublicSpaceType |
P5611
|
FINISHED |
| Object | urban street |
—
|
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: urban street | Statement: [Calle Felipe IV, Madrid, hasPublicSpaceType, urban street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSpaceType Context triple: [Calle Felipe IV, Madrid, hasPublicSpaceType, urban street]
-
A.
openSpaceType
chosen
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
B.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
C.
hasCommunitySpace
Indicates that an entity provides or includes a shared physical or virtual area intended for communal use, activities, or gatherings.
-
D.
hasPublicAuthorityType
Indicates that an entity possesses a specific type or category of public authority status or role.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.