Triple
T36863790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas Ithil |
E911014
|
entity |
| Predicate | architectureDescribedAs |
P98052
|
FINISHED |
| Object | white and radiant before its fall |
—
|
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: white and radiant before its fall | Statement: [Minas Ithil, architectureDescribedAs, white and radiant before its fall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureDescribedAs Context triple: [Minas Ithil, architectureDescribedAs, white and radiant before its fall]
-
A.
architectureProfileOf
Indicates that one entity serves as the architectural specification, style, or structural design profile that characterizes or defines another entity.
-
B.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
describesBuilding
chosen
Indicates that one entity provides a description or characterization of a building entity.
-
E.
architecturalElements
Indicates a relationship where certain components or features function as structural or design elements within an architectural context.
- 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:13 p.m.