Triple
T3701143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karditsa |
E78579
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ΚΑ
ΚΑ is the regional vehicle registration code used on license plates for the Karditsa area in Greece.
|
E380018
|
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: ΚΑ | Statement: [Karditsa, vehicleRegistrationCode, ΚΑ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ΚΑ Context triple: [Karditsa, vehicleRegistrationCode, ΚΑ]
-
A.
Kasos
Kasos is a small, remote Greek island in the southern Aegean Sea, known for its traditional character, maritime heritage, and unspoiled landscapes.
-
B.
Kalambaka
Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
-
C.
Arvanitika
Arvanitika is a variety of Albanian traditionally spoken by the Arvanite communities in Greece, closely related to the Tosk dialect group.
-
D.
Tzoumerka
Tzoumerka is a mountainous region in the Epirus area of northwestern Greece, known for its rugged peaks, traditional stone villages, and scenic gorges.
-
E.
Kleftiko
Kleftiko is a famous coastal rock formation and swimming spot on the Greek island of Milos, known for its striking white cliffs, sea caves, and crystal-clear turquoise waters.
- 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: ΚΑ Triple: [Karditsa, vehicleRegistrationCode, ΚΑ]
Generated description
ΚΑ is the regional vehicle registration code used on license plates for the Karditsa area in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ΚΑ Target entity description: ΚΑ is the regional vehicle registration code used on license plates for the Karditsa area in Greece.
-
A.
Kasos
Kasos is a small, remote Greek island in the southern Aegean Sea, known for its traditional character, maritime heritage, and unspoiled landscapes.
-
B.
Kalambaka
Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
-
C.
Arvanitika
Arvanitika is a variety of Albanian traditionally spoken by the Arvanite communities in Greece, closely related to the Tosk dialect group.
-
D.
Tzoumerka
Tzoumerka is a mountainous region in the Epirus area of northwestern Greece, known for its rugged peaks, traditional stone villages, and scenic gorges.
-
E.
Kleftiko
Kleftiko is a famous coastal rock formation and swimming spot on the Greek island of Milos, known for its striking white cliffs, sea caves, and crystal-clear turquoise waters.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc547c1848190a1ece46c59b7c43d |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3e100008190b517ea7272163728 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c64ed5fc819092cc98021c8345fe |
completed | March 14, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c6c9a6fc8190b5a3dbf9675adcc1 |
completed | March 14, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:26 p.m.