Triple
T18759527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untitled (One Hundred Spaces) |
E458732
|
entity |
| Predicate | spatialArrangement |
P46737
|
FINISHED |
| Object | grid-like layout |
—
|
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: grid-like layout | Statement: [Untitled (One Hundred Spaces), spatialArrangement, grid-like layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spatialArrangement Context triple: [Untitled (One Hundred Spaces), spatialArrangement, grid-like layout]
-
A.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
C.
cellArrangement
Indicates how cells are organized or positioned relative to each other within a structure or system.
-
D.
arrangementType
chosen
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
E.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7db2f48190a4f1c5c9801fe180 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.