Triple
T24082292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAGIC telescope collaboration |
E596535
|
entity |
| Predicate | observatoryArchipelago |
P154785
|
FINISHED |
| Object | Canary Islands |
—
|
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: Canary Islands | Statement: [MAGIC telescope collaboration, observatoryArchipelago, Canary Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observatoryArchipelago Context triple: [MAGIC telescope collaboration, observatoryArchipelago, Canary Islands]
-
A.
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.
-
B.
observatoryName
Indicates the name assigned to an observatory.
-
C.
observatoryFor
Indicates that something serves as an observatory specifically dedicated to observing, studying, or monitoring a particular target or subject.
-
D.
observatoryComplex
Indicates a relationship where multiple observatory-related facilities or structures are grouped together as parts of a single, integrated observatory complex.
-
E.
observatoryOrganization
Indicates that an organization operates, manages, or is institutionally responsible for an observatory.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc257f408190ab87c6f95adca96d |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.