Triple
T21941482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Residential Axis |
E541832
|
entity |
| Predicate | formsArmOf |
P28222
|
FINISHED |
| Object | Lúcio Costa’s airplane city scheme |
—
|
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: Lúcio Costa’s airplane city scheme | Statement: [Residential Axis, formsArmOf, Lúcio Costa’s airplane city scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsArmOf Context triple: [Residential Axis, formsArmOf, Lúcio Costa’s airplane city scheme]
-
A.
armType
Indicates the specific kind or configuration of an arm associated with an entity.
-
B.
isForwardArmOf
chosen
Indicates that one object functions as the front or leading arm/extension of another object in a given structure or system.
-
C.
arms
Indicates that one entity supplies weapons or military equipment to another entity.
-
D.
isDistributionArmOf
Indicates that one entity functions as the distribution arm or channel responsible for delivering or selling the products or services of another entity.
-
E.
hasArms
Indicates that an entity possesses arms as physical appendages.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12422245c8190af128b29e2d9c1fc |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:56 p.m.