Triple
T18536855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotthard Base Tunnel |
E452986
|
entity |
| Predicate | numberOfTunnelBoringMachinesUsed |
P132048
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Gotthard Base Tunnel, numberOfTunnelBoringMachinesUsed, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTunnelBoringMachinesUsed Context triple: [Gotthard Base Tunnel, numberOfTunnelBoringMachinesUsed, 4]
-
A.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
B.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
C.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
D.
tunnelBoringMachineName
Indicates the name assigned to a specific tunnel boring machine involved in the relationship.
-
E.
tunnelDugBy
Indicates that a tunnel was created or excavated by a particular agent or entity.
- F. None of above. chosen
Provenance (4 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5340256d08190bf22d2cb064413b2 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.