Triple
T19643538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eise Eisinga Planetarium |
E471605
|
entity |
| Predicate | isOldestWorkingPlanetarium |
P136803
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Eise Eisinga Planetarium, isOldestWorkingPlanetarium, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestWorkingPlanetarium Context triple: [Eise Eisinga Planetarium, isOldestWorkingPlanetarium, true]
-
A.
hasPlanetarium
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.
isOldestMuseumIn
Indicates that a museum is the most ancient or earliest established museum within a specified location or region.
-
D.
isOneOfOldestStationsInSystem
Indicates that the station is among the earliest or first-built stations within the entire system.
-
E.
hasOldestPlayableOrgan
Indicates that the subject possesses or is associated with the oldest playable organ.
- F. None of above. chosen
Provenance (4 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641239ca08190a8bb8854f21ab562 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.