Triple
T7554136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrade–Bar railway |
E178613
|
entity |
| Predicate | tunnelCount |
P48117
|
FINISHED |
| Object | over 250 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: over 250 tunnels | Statement: [Belgrade–Bar railway, tunnelCount, over 250 tunnels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelCount Context triple: [Belgrade–Bar railway, tunnelCount, over 250 tunnels]
-
A.
numberOfTunnels
chosen
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
B.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
C.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
D.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
E.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.