Triple
T32340660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place de la Reine |
E826303
|
entity |
| Predicate | hasSurroundingBuildings |
P52857
|
FINISHED |
| Object | neoclassical townhouses |
—
|
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: neoclassical townhouses | Statement: [Place de la Reine, hasSurroundingBuildings, neoclassical townhouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingBuildings Context triple: [Place de la Reine, hasSurroundingBuildings, neoclassical townhouses]
-
A.
hasNeighboringBuilding
Indicates that one building is located adjacent to or directly next to another building.
-
B.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
C.
architectOfSurroundingBuildings
Indicates that one entity is the architect responsible for designing the buildings that surround or are adjacent to another specified entity.
-
D.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
-
E.
hasBuildingStyleInSurroundings
chosen
Indicates that an entity is surrounded by or located in an area characterized by a particular building style.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: May 1, 2026, 12:48 a.m.