Triple
T5451470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Far Rockaway – Mott Avenue station |
E122378
|
entity |
| Predicate | hasCanopyMaterial |
P1845
|
FINISHED |
| Object | metal and glass canopies |
—
|
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: metal and glass canopies | Statement: [Far Rockaway – Mott Avenue station, hasCanopyMaterial, metal and glass canopies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanopyMaterial Context triple: [Far Rockaway – Mott Avenue station, hasCanopyMaterial, metal and glass canopies]
-
A.
hasCanopy
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
B.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
C.
hasDomeMaterial
Indicates that the material specified is used as the primary construction or covering material of a dome.
-
D.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.