Triple
T34841310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rozhen Observatory |
E1004347
|
entity |
| Predicate | isLargestAstronomicalObservatoryIn |
P181911
|
FINISHED |
| Object | Bulgaria |
—
|
NE NERFINISHED |
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: Bulgaria | Statement: [Rozhen Observatory, isLargestAstronomicalObservatoryIn, Bulgaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestAstronomicalObservatoryIn Context triple: [Rozhen Observatory, isLargestAstronomicalObservatoryIn, Bulgaria]
-
A.
observatoryName
Indicates the name assigned to an observatory.
-
B.
largestTelescopeAperture
Indicates that one entity has the largest telescope aperture (e.g., diameter or area of the primary light-collecting element) among a specified set or context.
-
C.
observatoryComplex
Indicates a relationship where multiple observatory-related facilities or structures are grouped together as parts of a single, integrated observatory complex.
-
D.
wasWorldsLargestTelescope
Indicates that the subject telescope held the status of being the largest telescope in the world during a specified time period.
-
E.
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.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.