Triple
T35313522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ULTRA |
E1019840
|
entity |
| Predicate | intelligenceProductLabel |
P182725
|
FINISHED |
| Object | ULTRA intelligence |
—
|
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: ULTRA intelligence | Statement: [ULTRA, intelligenceProductLabel, ULTRA intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intelligenceProductLabel Context triple: [ULTRA, intelligenceProductLabel, ULTRA intelligence]
-
A.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
B.
vendorProductOf
Indicates that a product is offered or supplied by a particular vendor.
-
C.
marketsDevicesUnderBrand
Indicates that an entity promotes and sells devices using a particular brand name or under a specific brand identity.
-
D.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
E.
usesProduct
Indicates that one entity makes use of, applies, or employs a particular product.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.