Triple
T18687999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civic Theatre, Auckland |
E456914
|
entity |
| Predicate | hasAtmosphericEffect |
P26038
|
FINISHED |
| Object | ceiling painted as night sky with stars and clouds |
—
|
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: ceiling painted as night sky with stars and clouds | Statement: [Civic Theatre, Auckland, hasAtmosphericEffect, ceiling painted as night sky with stars and clouds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtmosphericEffect Context triple: [Civic Theatre, Auckland, hasAtmosphericEffect, ceiling painted as night sky with stars and clouds]
-
A.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
B.
hasAtmosphericFeature
chosen
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
C.
hasAtmosphericBuildUp
Indicates that there is a gradual increase in tension, suspense, or mood leading up to a particular event or moment.
-
D.
hasGeneralAtmosphere
Indicates that one entity is characterized by or associated with a particular overall mood, tone, or ambient quality provided by another entity.
-
E.
hasEnvironmentalEffect
Indicates that one entity causes, contributes to, or is associated with an impact on the environment of another entity or context.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2e4c6081908bb958bd00d6bec9 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.