Triple
T31048084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid–Valladolid high-speed line |
E791181
|
entity |
| Predicate | GuadarramaTunnelLength |
P114992
|
FINISHED |
| Object | approximately 28.4 km |
—
|
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: approximately 28.4 km | Statement: [Madrid–Valladolid high-speed line, GuadarramaTunnelLength, approximately 28.4 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GuadarramaTunnelLength Context triple: [Madrid–Valladolid high-speed line, GuadarramaTunnelLength, approximately 28.4 km]
-
A.
lengthOfTunnels
chosen
Indicates the measured extent or distance of tunnels associated with an entity.
-
B.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
C.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
D.
drainageTunnelConstructedIn
Indicates that a drainage tunnel was built or established within a specific location or administrative area.
-
E.
Marão TunnelStatus
Indicates the operational or construction status of the Marão Tunnel at a given time.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953db334819083dcdfcf1e3d97f2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9 p.m.