Triple
T21270154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bologna–Florence railway |
E524232
|
entity |
| Predicate | tunnelLengthApprox |
P12895
|
FINISHED |
| Object | 18.5 kilometres |
—
|
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: 18.5 kilometres | Statement: [Bologna–Florence railway, tunnelLengthApprox, 18.5 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelLengthApprox Context triple: [Bologna–Florence railway, tunnelLengthApprox, 18.5 kilometres]
-
A.
hasTunnelLengthApprox
chosen
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
B.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
C.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
D.
trackLengthApproxKm
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
-
E.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651c9208190a87d45acd6fafaaa |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.