Triple
T1086505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherif Ali |
E24062
|
entity |
| Predicate | countryOfFictionalActivity |
P10686
|
FINISHED |
| Object | Ottoman Empire territories in the Middle East |
—
|
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: Ottoman Empire territories in the Middle East | Statement: [Sherif Ali, countryOfFictionalActivity, Ottoman Empire territories in the Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFictionalActivity Context triple: [Sherif Ali, countryOfFictionalActivity, Ottoman Empire territories in the Middle East]
-
A.
locatedInFictionalCountry
Indicates that an entity exists or is situated within a country that is fictional rather than real.
-
B.
countryOfSetting
chosen
Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
-
C.
hasFictionalLocation
Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
-
D.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.