Triple
T1156006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galerie des Machines |
E23782
|
entity |
| Predicate | spanType |
P25384
|
FINISHED |
| Object | three-hinged arch system |
—
|
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: three-hinged arch system | Statement: [Galerie des Machines, spanType, three-hinged arch system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spanType Context triple: [Galerie des Machines, spanType, three-hinged arch system]
-
A.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
-
B.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
C.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
-
D.
stemType
Indicates the type or form of a stem that an entity possesses or is characterized by.
-
E.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
- F. None of above. chosen
Provenance (4 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc912300819084c9c69783055a70 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.