Triple
T491944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of Assembly, Chandigarh |
E10206
|
entity |
| Predicate | lightingDesign |
P1280
|
FINISHED |
| Object | use of natural light through high-level openings |
—
|
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: use of natural light through high-level openings | Statement: [Palace of Assembly, Chandigarh, lightingDesign, use of natural light through high-level openings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingDesign Context triple: [Palace of Assembly, Chandigarh, lightingDesign, use of natural light through high-level openings]
-
A.
designLuminosity
Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
-
B.
hasLighting
chosen
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
C.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
D.
led
Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
-
E.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0f959b481908f9f28fb96695924 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf7ce008190836fb6ab5ea39375 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.