Triple
T12630450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greeks of Azov |
E301625
|
entity |
| Predicate | mainCity |
P3207
|
FINISHED |
| Object |
Sartana
Sartana is a historically Greek-populated settlement near Mariupol in eastern Ukraine, known as a cultural center of the local Greek (Azov Greek) community.
|
E994576
|
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: Sartana | Statement: [Greeks of Azov, mainCity, Sartana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sartana Context triple: [Greeks of Azov, mainCity, Sartana]
-
A.
Saho
Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
-
B.
Pantami
Pantami is a town and district in Gombe State, northeastern Nigeria, known for its role as a local administrative and commercial center.
-
C.
Rammu
Rammu is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
D.
Palooka
Palooka is a 1934 American comedy film based on the popular comic strip about a naive but talented boxer, starring Jimmy Durante and Lupe Vélez.
-
E.
Bindo
Bindo is an Italian given name, notably borne by Bindo Maserati, a member of the family behind the Maserati automobile marque.
- 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: Sartana Triple: [Greeks of Azov, mainCity, Sartana]
Generated description
Sartana is a historically Greek-populated settlement near Mariupol in eastern Ukraine, known as a cultural center of the local Greek (Azov Greek) community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sartana Target entity description: Sartana is a historically Greek-populated settlement near Mariupol in eastern Ukraine, known as a cultural center of the local Greek (Azov Greek) community.
-
A.
Saho
Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
-
B.
Pantami
Pantami is a town and district in Gombe State, northeastern Nigeria, known for its role as a local administrative and commercial center.
-
C.
Rammu
Rammu is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
D.
Palooka
Palooka is a 1934 American comedy film based on the popular comic strip about a naive but talented boxer, starring Jimmy Durante and Lupe Vélez.
-
E.
Bindo
Bindo is an Italian given name, notably borne by Bindo Maserati, a member of the family behind the Maserati automobile marque.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686f9ba48190bd82b2bb037d7d7a |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697d8ac88190b4ead9ce47f3a705 |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2da60881909b0a689821456bb4 |
completed | May 2, 2026, 9:18 p.m. |
Created at: April 9, 2026, 5:15 p.m.