Triple
T25857313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm Radwan |
E651382
|
entity |
| Predicate | basedOnWorkNationality |
P102785
|
FINISHED |
| Object | Egyptian |
—
|
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: Egyptian | Statement: [Umm Radwan, basedOnWorkNationality, Egyptian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkNationality Context triple: [Umm Radwan, basedOnWorkNationality, Egyptian]
-
A.
basedOnWorkCountryOfOrigin
Indicates that something is determined or derived from the country of origin of a work.
-
B.
basedOnNationality
chosen
Indicates a relationship where something is determined, derived, or decided according to a person’s nationality.
-
C.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
D.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
E.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 22, 2026, 8:01 a.m.