Triple
T3473274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Ads |
E73311
|
entity |
| Predicate | supportsTargetingType |
P23634
|
FINISHED |
| Object | keyword targeting |
—
|
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: keyword targeting | Statement: [Google Ads, supportsTargetingType, keyword targeting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTargetingType Context triple: [Google Ads, supportsTargetingType, keyword targeting]
-
A.
supportsTargetType
chosen
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
B.
usesTargetingSystem
Indicates that an entity employs or relies on a specific targeting system to aim at or select a target.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
E.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3e03e081908aa09291bbf351bd |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.