Triple
T29388621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associate |
E745316
|
entity |
| Predicate | hasCostLevel |
P146877
|
FINISHED |
| Object | lower than higher Bluetooth SIG membership tiers |
—
|
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: lower than higher Bluetooth SIG membership tiers | Statement: [Associate, hasCostLevel, lower than higher Bluetooth SIG membership tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCostLevel Context triple: [Associate, hasCostLevel, lower than higher Bluetooth SIG membership tiers]
-
A.
hasCost
Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by another entity.
-
B.
listingCostLevel
chosen
Indicates the relative price range or expense level associated with a particular listing.
-
C.
increasedCostFor
Indicates that one entity causes or experiences a rise in the cost associated with another entity or activity.
-
D.
hasUsageLevel
Indicates the degree or intensity with which something is used or utilized.
-
E.
hasConditionalityLevel
Indicates that one entity is associated with a specific degree or level of conditional requirements, constraints, or dependencies relative to another entity 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 28, 2026, 2:40 p.m.