Triple
T2558045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuevas Ideas |
E56773
|
entity |
| Predicate | communicationStrategy |
P40449
|
FINISHED |
| Object | intensive use of social media |
—
|
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: intensive use of social media | Statement: [Nuevas Ideas, communicationStrategy, intensive use of social media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationStrategy Context triple: [Nuevas Ideas, communicationStrategy, intensive use of social media]
-
A.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
B.
communicationPrinciple
Indicates a guiding rule or norm that shapes how communication should be conducted between entities.
-
C.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
D.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
E.
communicationRule
Indicates a rule or constraint that governs how communication between entities should occur.
- F. None of above. chosen
Provenance (4 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd35b216881908f4ef32d1c1e5080 |
completed | March 7, 2026, 7:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.