Triple
T1299240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du Luxembourg |
E27722
|
entity |
| Predicate | hasPaving |
P14456
|
FINISHED |
| Object | cobblestone |
—
|
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: cobblestone | Statement: [Place du Luxembourg, hasPaving, cobblestone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaving Context triple: [Place du Luxembourg, hasPaving, cobblestone]
-
A.
pavedWith
chosen
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
B.
hasPavilion
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
C.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
-
D.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
E.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.