Triple
T19101054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trade Policy Review Body |
E467529
|
entity |
| Predicate | reviewsLessFrequently |
P134376
|
FINISHED |
| Object | smallest traders |
—
|
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: smallest traders | Statement: [Trade Policy Review Body, reviewsLessFrequently, smallest traders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewsLessFrequently Context triple: [Trade Policy Review Body, reviewsLessFrequently, smallest traders]
-
A.
reviewFrom
Indicates that a review is authored or provided by a particular source or entity.
-
B.
reviewType
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
C.
reviewOf
Indicates that one entity is a critical or evaluative assessment that is about or directed toward another entity.
-
D.
reviewPhrase
Indicates that one entity expresses an evaluative or opinionated phrase about another entity, typically as part of a review or critique.
-
E.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36de7bc8190b353ed59e12e4631 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.