Triple
T34108427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trotuș River |
E874769
|
entity |
| Predicate | valleyCrossedBy |
P78424
|
FINISHED |
| Object | railway Brașov–Onești |
—
|
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: railway Brașov–Onești | Statement: [Trotuș River, valleyCrossedBy, railway Brașov–Onești]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyCrossedBy Context triple: [Trotuș River, valleyCrossedBy, railway Brașov–Onești]
-
A.
crossedByRiver
Indicates that a river passes across or through a specified area, feature, or route.
-
B.
waterwayTypeCrossed
Indicates the specific kind of waterway (e.g., river, canal, stream) that is being crossed in the described relationship or action.
-
C.
crossesWatershed
Indicates that one entity passes from one drainage basin or watershed area into another, traversing the boundary between them.
-
D.
traversesValley
chosen
Indicates that an entity moves through or across a valley, passing from one side or area to another.
-
E.
crossesMountainRangeTo
Indicates that one entity traverses from one side of a mountain range to the other, passing across or through it as a route or 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70caf57ec8190b0a453cc75eaa8f2 |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.