Triple
T37844051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank |
E943553
|
entity |
| Predicate | settingWorkCountry |
P157605
|
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: [Frank, settingWorkCountry, Austria-Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingWorkCountry Context triple: [Frank, settingWorkCountry, Austria-Hungary]
-
A.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
B.
useCountry
Indicates that one entity utilizes or operates within the jurisdiction, systems, or context of a specified country.
-
C.
countryInWork
Indicates that a creative work is set in, associated with, or significantly involves a particular country.
-
D.
siteCountry
Indicates that a site is located within or associated with a specific country.
-
E.
settlementCountryRegion
Indicates the country or broader geographic region in which a settlement is located or administered.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:19 p.m.