Triple
T10753117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Girl |
E253619
|
entity |
| Predicate | marketingObjective |
P38749
|
FINISHED |
| Object | differentiate Singapore Airlines from competitors |
—
|
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: differentiate Singapore Airlines from competitors | Statement: [Singapore Girl, marketingObjective, differentiate Singapore Airlines from competitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingObjective Context triple: [Singapore Girl, marketingObjective, differentiate Singapore Airlines from competitors]
-
A.
campaignObjectivePersian
Indicates the specific goal or intended outcome of a campaign, expressed in the Persian language.
-
B.
campaignObjectiveContext
Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
-
C.
commercialObjective
chosen
Indicates that an action, plan, or entity is primarily intended to achieve commercial or business-related goals, such as generating revenue, profit, or market advantage.
-
D.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
E.
manufacturerGoal
Indicates that a manufacturer has a specific objective, target, or desired outcome it aims to achieve.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.