Triple
T17107680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باي تونس |
E415142
|
entity |
| Predicate | ينتميأولباي |
P110882
|
FINISHED |
| Object | إلى الأسرة الحسينية |
—
|
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: إلى الأسرة الحسينية | Statement: [باي تونس, ينتميأولباي, إلى الأسرة الحسينية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ينتميأولباي Context triple: [باي تونس, ينتميأولباي, إلى الأسرة الحسينية]
-
A.
נחשב
chosen
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
B.
successorClubCountry
Indicates that one club is the successor of another club within the same country, typically following reformation, relocation, or legal/organizational continuity.
-
C.
isCapitalMunicipalityOf
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
D.
وسيلة
Indicates that one entity serves as a means, instrument, or intermediary through which another entity achieves or performs something.
-
E.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc280b0c8190b9e620b90e0d4b40 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.