Triple
T15147646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agia municipality |
E361855
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Velika
Velika is a coastal village in the Agia municipality of the Larissa regional unit in Greece, known for its long sandy beach and summer tourism.
|
E1140853
|
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: Velika | Statement: [Agia municipality, containsSettlement, Velika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velika Context triple: [Agia municipality, containsSettlement, Velika]
-
A.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
B.
Veliki Crljeni
Veliki Crljeni is a suburban settlement in the Lazarevac municipality near Belgrade, Serbia, known for its proximity to regional coal mining and energy facilities.
-
C.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
D.
Velika Plana
Velika Plana is a town and municipality in central Serbia, known as a local industrial and transport hub in the Podunavlje District.
-
E.
Svete
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
- 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: Velika Triple: [Agia municipality, containsSettlement, Velika]
Generated description
Velika is a coastal village in the Agia municipality of the Larissa regional unit in Greece, known for its long sandy beach and summer tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velika Target entity description: Velika is a coastal village in the Agia municipality of the Larissa regional unit in Greece, known for its long sandy beach and summer tourism.
-
A.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
B.
Veliki Crljeni
Veliki Crljeni is a suburban settlement in the Lazarevac municipality near Belgrade, Serbia, known for its proximity to regional coal mining and energy facilities.
-
C.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
D.
Velika Plana
Velika Plana is a town and municipality in central Serbia, known as a local industrial and transport hub in the Podunavlje District.
-
E.
Svete
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff281848190a094bd697b19aaf3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec3becbe08190a3a3517830cef461 |
completed | May 9, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec41e15d48190a44ddf901fdcca3e |
completed | May 9, 2026, 5:20 a.m. |
Created at: April 10, 2026, 3:07 a.m.