Triple
T26784513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermenagna Valley |
E670342
|
entity |
| Predicate | connectedToCountryViaPass |
P92645
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Vermenagna Valley, connectedToCountryViaPass, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToCountryViaPass Context triple: [Vermenagna Valley, connectedToCountryViaPass, France]
-
A.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
B.
enteredCountryVia
chosen
Indicates that an entity came into a country using a specific entry point, route, or method.
-
C.
enteredCountry
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
D.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
E.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 4:12 a.m.