Triple
T16142409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garfield Tea House |
E391690
|
entity |
| Predicate | architecturalElementSource |
P112113
|
FINISHED |
| Object | railroad ties |
—
|
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: railroad ties | Statement: [Garfield Tea House, architecturalElementSource, railroad ties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalElementSource Context triple: [Garfield Tea House, architecturalElementSource, railroad ties]
-
A.
architecturalOrigin
Indicates the place, style, or tradition from which an architectural work or design originates.
-
B.
architecturalSymbol
Indicates that one entity serves as a symbolic or emblematic representation of another within an architectural context.
-
C.
hasArchitecturalMaterial
chosen
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
D.
architecturalWork
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
E.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9082588190bc7e6ff491f0d94e |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.