Triple
T105127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading Terminal Market |
E2121
|
entity |
| Predicate | roofType |
P3576
|
FINISHED |
| Object | train shed |
—
|
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: train shed | Statement: [Reading Terminal Market, roofType, train shed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofType Context triple: [Reading Terminal Market, roofType, train shed]
-
A.
roofFeature
chosen
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
B.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
floorPlanType
Indicates the specific layout or configuration category that a floor plan belongs to (e.g., studio, 1-bedroom, open-plan).
-
E.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563be81c81908ccc5ed44edd6b8e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.