Triple
T238750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French–Italian border |
E4881
|
entity |
| Predicate | terminusPointWest |
P4246
|
FINISHED |
| Object | near Menton |
—
|
LITERAL FINISHED |
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: near Menton | Statement: [French–Italian border, terminusPointWest, near Menton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusPointWest Context triple: [French–Italian border, terminusPointWest, near Menton]
-
A.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
B.
terminusNorth
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
-
C.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
D.
westernTerminusNear
chosen
Indicates that the western endpoint of one entity is located close to another entity.
-
E.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.