Triple
T33932023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يزيد بن معاوية |
E869920
|
entity |
| Predicate | الهوايات المنسوبة إليه |
P86974
|
FINISHED |
| Object | حب الصيد |
—
|
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: حب الصيد | Statement: [يزيد بن معاوية, الهوايات المنسوبة إليه, حب الصيد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الهوايات المنسوبة إليه Context triple: [يزيد بن معاوية, الهوايات المنسوبة إليه, حب الصيد]
-
A.
favoriteHobby
Indicates that one entity has another entity as the hobby they enjoy doing the most.
-
B.
hasNotableHobby
chosen
Indicates that an entity engages in a hobby that is distinctive, remarkable, or otherwise noteworthy.
-
C.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
D.
formerHobby
Indicates that an activity was previously pursued as a hobby by an entity but is no longer currently practiced as such.
-
E.
activityCorrelatesWith
Indicates that the level or occurrence of one activity is statistically associated with the level or occurrence of another activity, without implying direct causation.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.