Triple
T26138069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | يقع_في_البلد_الحالي |
P122681
|
FINISHED |
| Object | مصر |
—
|
NE NERFINISHED |
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: مصر | Statement: [منف, يقع_في_البلد_الحالي, مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يقع_في_البلد_الحالي Context triple: [منف, يقع_في_البلد_الحالي, مصر]
-
A.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
B.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
C.
locatedInCurrentCountry
chosen
Indicates that an entity is situated within the geographic boundaries of the country in which it is presently found.
-
D.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
-
E.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.