Triple
T6104294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleka Papariga |
E136077
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
|
E569197
|
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: Papariga | Statement: [Aleka Papariga, familyName, Papariga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papariga Context triple: [Aleka Papariga, familyName, Papariga]
-
A.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
B.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
C.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
-
D.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
-
E.
Pigadia
Pigadia is the main town and port of the Greek island of Karpathos, serving as its administrative and commercial center.
- 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: Papariga Triple: [Aleka Papariga, familyName, Papariga]
Generated description
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Papariga Target entity description: Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
A.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
B.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
C.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
-
D.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
-
E.
Pigadia
Pigadia is the main town and port of the Greek island of Karpathos, serving as its administrative and commercial center.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12553f1d4819096de40514ef4d2cb |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125d888cc819092b765d47f1d9f9f |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126f308988190ab6cb6c79ea12877 |
completed | March 23, 2026, 11:41 a.m. |
Created at: March 22, 2026, 4:13 p.m.