Triple
T37482316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maremma Sheepdog |
E931441
|
entity |
| Predicate | commonUseCountry |
P7827
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Maremma Sheepdog, commonUseCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonUseCountry Context triple: [Maremma Sheepdog, commonUseCountry, Italy]
-
A.
commonInCountry
chosen
Indicates that something occurs frequently or is widespread within a specified country.
-
B.
countryNameUsage
Indicates how a country’s name is used or applied in a particular context or representation.
-
C.
primaryUseCountry
Indicates the country in which something is primarily used or most commonly utilized.
-
D.
useCountry
Indicates that one entity utilizes or operates within the jurisdiction, systems, or context of a specified country.
-
E.
usesCountry
Indicates that one entity makes use of, operates within, or is functionally associated with a specified country.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:17 p.m.