Triple
T17036382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maquette |
E413329
|
entity |
| Predicate | containsLocationType |
P104071
|
FINISHED |
| Object | surreal architectural spaces |
—
|
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: surreal architectural spaces | Statement: [Maquette, containsLocationType, surreal architectural spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLocationType Context triple: [Maquette, containsLocationType, surreal architectural spaces]
-
A.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
B.
hasMainLocationType
Indicates that an entity is associated with a primary or predominant type of location that characterizes where it is mainly situated or operates.
-
C.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
D.
containsLocality
Indicates that one place or area geographically includes or encompasses another locality within its boundaries.
-
E.
hasPhysicalLocationType
chosen
Indicates that an entity is associated with a specific kind or category of physical location (e.g., building type, facility type, or place type).
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.