Triple
T38571688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 14 Plus |
E929291
|
entity |
| Predicate | isMoreAffordableThan |
P16098
|
FINISHED |
| Object | iPhone 14 Pro |
—
|
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: iPhone 14 Pro | Statement: [iPhone 14 Plus, isMoreAffordableThan, iPhone 14 Pro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMoreAffordableThan Context triple: [iPhone 14 Plus, isMoreAffordableThan, iPhone 14 Pro]
-
A.
fareLowerThan
Indicates that the fare associated with one entity is lower in cost than the fare associated with another entity.
-
B.
moreExpensiveThan
Indicates that one entity has a higher cost or price than another entity.
-
C.
priceRelationship
chosen
Indicates a comparative relationship between the prices of two entities, such as one being higher, lower, or equal to the other.
-
D.
isLowCost
Indicates that something requires relatively little expenditure of money or resources compared to alternatives.
-
E.
bargainsWith
Indicates that two entities engage in negotiation or exchange to reach a mutually acceptable agreement.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.