Triple
T23976103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinway |
E604371
|
entity |
| Predicate | rangeTraversed |
P111083
|
FINISHED |
| Object | Franconia Range |
—
|
NE NERFINISHED |
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: Franconia Range | Statement: [Twinway, rangeTraversed, Franconia Range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeTraversed Context triple: [Twinway, rangeTraversed, Franconia Range]
-
A.
regionTraversedBy
chosen
Indicates that a region is crossed or passed through by a specified path, route, or linear feature.
-
B.
rangeState
Indicates that an entity’s state or condition falls within a specified range or interval.
-
C.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
D.
rangeDirection
Indicates the directional orientation or bearing associated with a specified range between entities.
-
E.
rangeDownrange
Indicates that one entity is located or directed further along the line of fire or trajectory from another entity, in the downrange direction.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2ba11708190b8587bd006249ff5 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:26 p.m.