Triple
T13355519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Inc. |
E318680
|
entity |
| Predicate | advertisingGoal |
P36911
|
FINISHED |
| Object | promote Apple products |
—
|
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: promote Apple products | Statement: [Apple Inc., advertisingGoal, promote Apple products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertisingGoal Context triple: [Apple Inc., advertisingGoal, promote Apple products]
-
A.
campaignObjectiveSpanish
Indicates the specific goal or purpose of a campaign as expressed in the Spanish language.
-
B.
campaignObjectivePersian
Indicates the specific goal or intended outcome of a campaign, expressed in the Persian language.
-
C.
campaignObjectiveContext
Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
-
D.
brandingGoal
chosen
Indicates the strategic objective or desired outcome that an entity aims to achieve through its branding efforts.
-
E.
promotionTarget
Indicates that one entity is the intended recipient or destination of a promotional action initiated by another entity.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.