Triple
T28147136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March No. 1 in D major |
E714513
|
entity |
| Predicate | notableUseCountry |
P202497
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [March No. 1 in D major, notableUseCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableUseCountry Context triple: [March No. 1 in D major, notableUseCountry, United States]
-
A.
notableUse
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
B.
usedByCountriesWith
Indicates that something (such as an item, system, or practice) is utilized or employed by one or more specified countries in common.
-
C.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
D.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
E.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a008b8938608190adaccbd720111a18 |
completed | May 10, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_6a008b24baac8190baaaf50c2e9cc6bd |
completed | May 10, 2026, 1:41 p.m. |
| PDg | Predicate description generation | batch_6a008b8870b481909c1a2707a7b06d49 |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 27, 2026, 9:57 p.m.