Triple
T4434757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E134 |
E95620
|
entity |
| Predicate | hasBridgeOrTunnel |
P26674
|
FINISHED |
| Object | multiple road tunnels |
—
|
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: multiple road tunnels | Statement: [European route E134, hasBridgeOrTunnel, multiple road tunnels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBridgeOrTunnel Context triple: [European route E134, hasBridgeOrTunnel, multiple road tunnels]
-
A.
hasBridgeTunnel
chosen
Indicates that there exists a bridge or tunnel connection between two locations or structures.
-
B.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
-
C.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
D.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
-
E.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.