Triple
T27146836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نوف هچليل |
E681972
|
entity |
| Predicate | تاريخ_تغيير_الاسم |
P161903
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [نوف هچليل, تاريخ_تغيير_الاسم, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ_تغيير_الاسم Context triple: [نوف هچليل, تاريخ_تغيير_الاسم, 2019]
-
A.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
B.
changedNameInHonorOf
Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
-
C.
historicalNameType
Indicates that the relationship specifies the type or category of a historical name associated with an entity.
-
D.
hasHistoricalNameChangeReason
Indicates that there is a specific reason or cause associated with a change in an entity’s historical name.
-
E.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c6dff08190ba0573eba9d63449 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:12 a.m.