Triple
T15517572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilir Meta |
E368872
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ilir Meta |
E368872
|
NE 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: Ilir Meta | Statement: [Ilir Meta, name, Ilir Meta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilir Meta Context triple: [Ilir Meta, name, Ilir Meta]
-
A.
Ilir Meta
chosen
Ilir Meta is an Albanian politician who has served in multiple top state positions, including president, prime minister, and speaker of parliament.
-
B.
Gjergj
Gjergj is the Albanian given name of Skanderbeg, the 15th-century national hero who led resistance against the Ottoman Empire.
-
C.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
D.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
E.
Dimitar
Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff454eafe48190a481b4adb8388395 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:03 a.m.