Triple
T28977342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مطار بنينة الدولي |
E734447
|
entity |
| Predicate | يقع_في_البلد |
P126786
|
FINISHED |
| Object | ليبيا |
—
|
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: ليبيا | Statement: [مطار بنينة الدولي, يقع_في_البلد, ليبيا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يقع_في_البلد Context triple: [مطار بنينة الدولي, يقع_في_البلد, ليبيا]
-
A.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
B.
находитсяВСтране
chosen
Indicates that something is located within the territory or borders of a specific country.
-
C.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
D.
housedInCountry
Indicates that an entity is located, based, or situated within the boundaries of a specified country.
-
E.
locatedInCapital
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ee1cc508190bc979963e3589271 |
completed | May 2, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:09 a.m.