Triple
T10517115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicilian Avenue |
E248062
|
entity |
| Predicate | hasColonnadeMaterial |
P94339
|
FINISHED |
| Object | stone |
—
|
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: stone | Statement: [Sicilian Avenue, hasColonnadeMaterial, stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonnadeMaterial Context triple: [Sicilian Avenue, hasColonnadeMaterial, stone]
-
A.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
B.
hasDomeMaterial
Indicates that the material specified is used as the primary construction or covering material of a dome.
-
C.
hasStationBuildingMaterial
Indicates that a station’s building is constructed from, or primarily composed of, a specified material.
-
D.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
E.
hasWallsMaterial
Indicates that the material specified is used to construct or cover the walls of the referenced entity.
- F. None of above. chosen
Provenance (4 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:28 p.m.