Triple
T30072574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahler 10 |
E764224
|
entity |
| Predicate | creationCountry |
P195448
|
FINISHED |
| Object | Austria-Hungary |
—
|
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: Austria-Hungary | Statement: [Mahler 10, creationCountry, Austria-Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creationCountry Context triple: [Mahler 10, creationCountry, Austria-Hungary]
-
A.
creatorCountryOfBirth
Indicates the country where the creator of an entity was born.
-
B.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
C.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
D.
formationCountry
Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: April 29, 2026, 7:01 p.m.