Triple
T24416432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agua Negra Tunnel |
E615595
|
entity |
| Predicate | replacesOrBypasses |
P124712
|
FINISHED |
| Object | Agua Negra Pass road crossing |
—
|
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: Agua Negra Pass road crossing | Statement: [Agua Negra Tunnel, replacesOrBypasses, Agua Negra Pass road crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesOrBypasses Context triple: [Agua Negra Tunnel, replacesOrBypasses, Agua Negra Pass road crossing]
-
A.
hasBypass
Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
-
B.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
C.
bypassType
Indicates the specific kind or method of bypass used to circumvent or route around a normal process, path, or control.
-
D.
bypassedVia
chosen
Indicates that one entity is avoided, skipped, or circumvented by using another specified means, route, or method.
-
E.
replacesOrAlternativesTo
Indicates that one entity serves as a substitute for, or an alternative option to, another entity, potentially taking its place or offering a different choice.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.