Triple
T28264335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMT |
E712659
|
entity |
| Predicate | isConsumerStaplesBenchmarkComponent |
P168964
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WMT, isConsumerStaplesBenchmarkComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConsumerStaplesBenchmarkComponent Context triple: [WMT, isConsumerStaplesBenchmarkComponent, true]
-
A.
isHouseholdStaple
Indicates that something is commonly and consistently kept on hand in a household as a basic, regularly used item.
-
B.
isTypicallyConsumedFrom
Indicates that one entity is most commonly eaten or drunk using, contained in, or taken from the other entity.
-
C.
isConsumerOriented
Indicates that something is designed, targeted, or tailored primarily to meet the needs, preferences, or interests of consumers.
-
D.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
E.
isNonFoodProduct
Indicates that the referenced item is classified as a product that is not intended for consumption as food.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 11:13 p.m.