Triple
T36796929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LinkedIn Stories |
E909206
|
entity |
| Predicate | monetizationPotential |
P16212
|
FINISHED |
| Object | sponsored story ads (planned or limited) |
—
|
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: sponsored story ads (planned or limited) | Statement: [LinkedIn Stories, monetizationPotential, sponsored story ads (planned or limited)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetizationPotential Context triple: [LinkedIn Stories, monetizationPotential, sponsored story ads (planned or limited)]
-
A.
hasMonetizationFocus
Indicates that one entity is oriented toward or primarily concerned with generating revenue or financial returns from another entity or activity.
-
B.
agingPotential
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
-
C.
supportsMonetizationProgram
chosen
Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
-
D.
promotionPossibility
Indicates the potential or eligibility for an entity to be advanced to a higher rank, position, or status.
-
E.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.