Triple
T16033743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramush Haradinaj |
E388913
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haradinaj
Haradinaj is the surname of Ramush Haradinaj, a Kosovar Albanian politician and former Prime Minister of Kosovo.
|
E1190076
|
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: Haradinaj | Statement: [Ramush Haradinaj, familyName, Haradinaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haradinaj Context triple: [Ramush Haradinaj, familyName, Haradinaj]
-
A.
Skenderaj
Skenderaj is a town and municipality in central Kosovo known as the birthplace of several prominent Kosovar Albanian political figures and as a center of activity during the Kosovo War.
-
B.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
C.
Bujar
Bujar is a masculine given name commonly used in Albania and among Albanian-speaking communities.
-
D.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
E.
Gjakova
Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
- 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: Haradinaj Triple: [Ramush Haradinaj, familyName, Haradinaj]
Generated description
Haradinaj is the surname of Ramush Haradinaj, a Kosovar Albanian politician and former Prime Minister of Kosovo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haradinaj Target entity description: Haradinaj is the surname of Ramush Haradinaj, a Kosovar Albanian politician and former Prime Minister of Kosovo.
-
A.
Skenderaj
Skenderaj is a town and municipality in central Kosovo known as the birthplace of several prominent Kosovar Albanian political figures and as a center of activity during the Kosovo War.
-
B.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
C.
Bujar
Bujar is a masculine given name commonly used in Albania and among Albanian-speaking communities.
-
D.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
E.
Gjakova
Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf373f548190abfc93aa238b97fd |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd13281208190a0c882563031b0eb |
completed | May 10, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1e3cf348190a75b6471e0c1a4d2 |
completed | May 10, 2026, 12:31 a.m. |
Created at: April 10, 2026, 4:56 a.m.