Triple
T28381704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transrapid |
E718905
|
entity |
| Predicate | testFacilityCountry |
P57970
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Transrapid, testFacilityCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testFacilityCountry Context triple: [Transrapid, testFacilityCountry, Germany]
-
A.
countryOfFacility
chosen
Indicates that a facility is located within or belongs to a specific country.
-
B.
testCountry
Indicates that an entity is associated with or designated as a test or placeholder country within a system or dataset.
-
C.
operatesFacilityInCountry
Indicates that an entity runs or manages a facility that is located within a specified country.
-
D.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
-
E.
countryConductingTest
Indicates that a country is the one carrying out or overseeing a particular test or experiment.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64cb6c8708190b0a947d7da770920 |
completed | May 2, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:07 a.m.