Triple
T28970855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Look for the Union Label |
E734266
|
entity |
| Predicate | encouragesBehavior |
P94746
|
FINISHED |
| Object | checking product labels for union marks |
—
|
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: checking product labels for union marks | Statement: [Look for the Union Label, encouragesBehavior, checking product labels for union marks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesBehavior Context triple: [Look for the Union Label, encouragesBehavior, checking product labels for union marks]
-
A.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
depictedAsEncouraging
Indicates that one entity is portrayed or represented as giving support, confidence, or motivation to another entity.
-
C.
encouragesActivities
chosen
Indicates that one entity promotes, supports, or motivates another entity to engage in certain activities.
-
D.
advisedBehavior
Indicates that one entity recommends or counsels a particular behavior or course of action to another entity.
-
E.
encouragedMeritocracy
Indicates that an entity promoted or supported a system in which individuals advance based on ability or merit rather than other factors.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65c30c8648190aab1eb36a1618953 |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:05 a.m.