Triple
T703729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titanic Belfast |
E14054
|
entity |
| Predicate | architecturalInspiration |
P16767
|
FINISHED |
| Object | prows of ships |
—
|
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: prows of ships | Statement: [Titanic Belfast, architecturalInspiration, prows of ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalInspiration Context triple: [Titanic Belfast, architecturalInspiration, prows of ships]
-
A.
architecturalInfluence
chosen
Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
-
B.
architecturalWork
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
C.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
D.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
-
E.
architecturalProject
Indicates that one entity is an architectural project associated with, created by, or undertaken for 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.