Triple
T16913524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon's Cloister |
E410261
|
entity |
| Predicate | hasSpatialForm |
P36280
|
FINISHED |
| Object | cloistered complex |
—
|
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: cloistered complex | Statement: [Canon's Cloister, hasSpatialForm, cloistered complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpatialForm Context triple: [Canon's Cloister, hasSpatialForm, cloistered complex]
-
A.
hasSpatialConcept
Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
-
B.
spatialRepresentation
Indicates that one entity serves as a spatial depiction, model, or encoding of the location, layout, or geometric properties of another entity.
-
C.
spatialProperty
chosen
Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
-
D.
hasSurfaceForm
Indicates that an abstract concept, entity, or linguistic unit is realized or expressed in a specific textual or lexical form.
-
E.
hasScalarForm
Indicates that something possesses or can be represented in a single-valued (scalar) form rather than as a vector, matrix, or more complex structure.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.