Triple
T14094731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW iX1 |
E339222
|
entity |
| Predicate | positionInBMWiRange |
P112794
|
FINISHED |
| Object | below BMW iX3 in size and price |
—
|
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: below BMW iX3 in size and price | Statement: [BMW iX1, positionInBMWiRange, below BMW iX3 in size and price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInBMWiRange Context triple: [BMW iX1, positionInBMWiRange, below BMW iX3 in size and price]
-
A.
positionInBand
Indicates the specific role or place an individual holds within a musical band.
-
B.
positionInRange
Indicates that an entity’s position lies within a specified numerical or spatial range.
-
C.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
D.
positionInNationalSystem
Indicates the role or status an entity holds within a country's official organizational or administrative structure.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.