Triple
T25859632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IceCube Collaboration |
E651445
|
entity |
| Predicate | hasCountryCountApprox |
P3809
|
FINISHED |
| Object | over 10 countries |
—
|
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 10 countries | Statement: [IceCube Collaboration, hasCountryCountApprox, over 10 countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryCountApprox Context triple: [IceCube Collaboration, hasCountryCountApprox, over 10 countries]
-
A.
hasNumberOfCountries
chosen
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
B.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
C.
hasPopulationCountry
Indicates that a specified population size is associated with, or belongs to, a particular country.
-
D.
generaCountApproximate
Indicates an approximate or estimated number of genera associated with an entity.
-
E.
hasPopulationOf
Indicates that an entity possesses a specific number of inhabitants or residents as its population.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 22, 2026, 8:05 a.m.