Triple
T17333913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe–South America air route |
E420885
|
entity |
| Predicate | earlySegmentType |
P127045
|
FINISHED |
| Object | seaplane leg |
—
|
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: seaplane leg | Statement: [Europe–South America air route, earlySegmentType, seaplane leg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlySegmentType Context triple: [Europe–South America air route, earlySegmentType, seaplane leg]
-
A.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
-
B.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
C.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
D.
earlyStrategy
Indicates that an entity adopts or implements a strategy at an early stage or time relative to a process, event, or development.
-
E.
hasSegmentType
Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.