Triple
T12551399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HidroAysén |
E300103
|
entity |
| Predicate | plannedTransmissionLineLength |
P105854
|
FINISHED |
| Object | over 2000 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: over 2000 km | Statement: [HidroAysén, plannedTransmissionLineLength, over 2000 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedTransmissionLineLength Context triple: [HidroAysén, plannedTransmissionLineLength, over 2000 km]
-
A.
railwayLineLength
Indicates the total measured length of a railway line.
-
B.
numberOfElectrifiedLines
Indicates the quantity of railway or transit lines within a system or network that are equipped with electrical power infrastructure for operation.
-
C.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
-
D.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
E.
railTransitLengthPlanned
Indicates the total length of rail transit infrastructure that is planned but not yet built or in operation.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:58 p.m.