Triple
T18863077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We The Curious |
E461362
|
entity |
| Predicate | hasPlanetariumType |
P29305
|
FINISHED |
| Object | digital 3D planetarium |
—
|
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: digital 3D planetarium | Statement: [We The Curious, hasPlanetariumType, digital 3D planetarium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanetariumType Context triple: [We The Curious, hasPlanetariumType, digital 3D planetarium]
-
A.
hasPlanetarium
chosen
Indicates that one entity possesses, contains, or includes a planetarium as one of its facilities or features.
-
B.
hasPlanetariumName
Indicates that a planetarium is identified by a specific name.
-
C.
hasPavilion
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
D.
hasPlanetaryFeatureType
Indicates that an entity possesses or is associated with a specific type of planetary surface or geological feature.
-
E.
observatoryType
Indicates the specific kind or category of observatory associated with an 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a304d4819092f14b7932d01afe |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.