Triple
T3574252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Albania |
E75647
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Ilir Meta
Ilir Meta is an Albanian politician who has served in multiple top state positions, including president, prime minister, and speaker of parliament.
|
E368872
|
NE FINISHED |
How this triple was built (4 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: [President of Albania, officeHoldersInclude, Ilir Meta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilir Meta Context triple: [President of Albania, officeHoldersInclude, Ilir Meta]
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
C.
Mihajlo
Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
-
D.
Ivan Sratsimir
Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
-
E.
Ljubomir Ilić
Ljubomir Ilić was a Yugoslav aircraft designer best known for co-designing the Ikarus IK-2 fighter aircraft.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ilir Meta Triple: [President of Albania, officeHoldersInclude, Ilir Meta]
Generated description
Ilir Meta is an Albanian politician who has served in multiple top state positions, including president, prime minister, and speaker of parliament.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilir Meta Target entity description: Ilir Meta is an Albanian politician who has served in multiple top state positions, including president, prime minister, and speaker of parliament.
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
C.
Mihajlo
Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
-
D.
Ivan Sratsimir
Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
-
E.
Ljubomir Ilić
Ljubomir Ilić was a Yugoslav aircraft designer best known for co-designing the Ikarus IK-2 fighter aircraft.
- F. None of above. chosen
Provenance (5 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0d928f08190830347b3b032178a |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc077048190917260402e2ccf66 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc556d2881908867daf93b509d74 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b6e66c81908700d5f3df0a864d |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.