Triple
T6607807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paso Internacional Los Libertadores |
E149160
|
entity |
| Predicate | openingYearOfTunnel |
P57523
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Paso Internacional Los Libertadores, openingYearOfTunnel, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingYearOfTunnel Context triple: [Paso Internacional Los Libertadores, openingYearOfTunnel, 1980]
-
A.
railTunnelOpeningYear
Indicates the calendar year in which a rail tunnel was officially opened for use.
-
B.
roadTunnelOpeningYear
chosen
Indicates the calendar year in which a road tunnel was officially opened for use.
-
C.
firstSubwayOpeningDate
Indicates the calendar date on which a subway system or line first began operating.
-
D.
firstSubwayOpeningSegment
Indicates that the subject is the initial segment or section of a subway line that was opened first in its operation or construction sequence.
-
E.
railwaySectionOpeningDate
Indicates the date on which a specific section of a railway line was officially opened for operation.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.