Triple
T22009296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayaji Baug |
E543531
|
entity |
| Predicate | planetariumInstanceOf |
P29305
|
FINISHED |
| Object | science museum |
—
|
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: science museum | Statement: [Sayaji Baug, planetariumInstanceOf, science museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planetariumInstanceOf Context triple: [Sayaji Baug, planetariumInstanceOf, science museum]
-
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.
isOldestWorkingPlanetarium
Indicates that the subject is the planetarium that has been in continuous operation longer than any other planetarium.
-
D.
observatory
Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
-
E.
DeAstronomicaIs
Indicates that something is identified as or classified as "De Astronomica" (e.g., belonging to or being the work/text known as De Astronomica).
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a376048190a78ba7efd303b58a |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:21 p.m.