Triple
T538882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Modulor |
E12384
|
entity |
| Predicate | aimsToUnify |
P9277
|
FINISHED |
| Object | aesthetics and function in architecture |
—
|
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: aesthetics and function in architecture | Statement: [Le Modulor, aimsToUnify, aesthetics and function in architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToUnify Context triple: [Le Modulor, aimsToUnify, aesthetics and function in architecture]
-
A.
wasUnifiedWith
Indicates that two or more previously separate entities were brought together to form a single unified whole.
-
B.
aimsToBalance
chosen
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
C.
ideologicalGoal
Indicates that an entity aims to promote, realize, or advance a particular ideology or set of ideological principles.
-
D.
unificationAct
Indicates the formal joining or merging of previously separate entities into a single unified whole.
-
E.
alliance
Indicates a formal cooperative relationship between entities who agree to support each other in shared goals or interests.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.