Triple
T8536941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle Hungary |
E202100
|
entity |
| Predicate | hasContentTailoredTo |
P83197
|
FINISHED |
| Object | Hungarian culture |
—
|
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: Hungarian culture | Statement: [Elle Hungary, hasContentTailoredTo, Hungarian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContentTailoredTo Context triple: [Elle Hungary, hasContentTailoredTo, Hungarian culture]
-
A.
regulatesContentFor
Indicates that one entity controls, manages, or sets rules governing the content produced, shared, or accessed by another entity.
-
B.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
C.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
D.
customizableBy
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
E.
supportsContentBrands
Indicates that one entity provides functionality, compatibility, or infrastructure necessary for the operation or distribution of specific content brands.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a3f024819095d560a205ff1c75 |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:18 p.m.