Triple
T31179190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT Ateca |
E794839
|
entity |
| Predicate | segmentEntry |
P94194
|
FINISHED |
| Object | first entry of SEAT into SUV segment |
—
|
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: first entry of SEAT into SUV segment | Statement: [SEAT Ateca, segmentEntry, first entry of SEAT into SUV segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentEntry Context triple: [SEAT Ateca, segmentEntry, first entry of SEAT into SUV segment]
-
A.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
B.
segmentBy
Indicates dividing something into distinct parts or sections based on a specified criterion or boundary.
-
C.
entryFor
chosen
Indicates that one entity serves as the specific record, representation, or listing corresponding to another entity.
-
D.
segmentPosition
Indicates the relative location or ordering of a segment within a larger sequence or structure.
-
E.
segmentLocation
Indicates the spatial or positional relationship specifying where a particular segment is located within a larger structure or context.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.