Triple
T7253297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IceCube Neutrino Observatory |
E157655
|
entity |
| Predicate | numberOfOpticalModules |
P19277
|
FINISHED |
| Object | over 5000 |
—
|
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: over 5000 | Statement: [IceCube Neutrino Observatory, numberOfOpticalModules, over 5000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOpticalModules Context triple: [IceCube Neutrino Observatory, numberOfOpticalModules, over 5000]
-
A.
numberOfModules
chosen
Indicates the total count of modules associated with a given entity.
-
B.
numberOfDetectors
Indicates the quantity of detectors associated with or involved in a given entity or system.
-
C.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
D.
numberOfDeformableMirrors
Indicates the quantity of deformable mirrors associated with or used in a given system or configuration.
-
E.
hasNumberOfNasmythFoci
Indicates the relationship specifying how many Nasmyth foci are associated with a given telescope or optical system.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9d41908190bb76c6a5b9d5b1a2 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.