Triple
T37687305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sculeni border crossing |
E938404
|
entity |
| Predicate | hasBridgeOrCrossingStructure |
P106621
|
FINISHED |
| Object | road bridge over the Prut River |
—
|
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: road bridge over the Prut River | Statement: [Sculeni border crossing, hasBridgeOrCrossingStructure, road bridge over the Prut River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBridgeOrCrossingStructure Context triple: [Sculeni border crossing, hasBridgeOrCrossingStructure, road bridge over the Prut River]
-
A.
hasBridgeCrossings
chosen
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
-
B.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
-
C.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
-
D.
hasBridgeAndTunnelStructures
Indicates that there exist both bridge and tunnel structures associated with or connecting the related entities.
-
E.
hasBridgeTunnel
Indicates that there exists a bridge or tunnel connection between two locations or structures.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:18 p.m.