Triple
T18473058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Koroneia |
E451351
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Lagkadas
Lagkadas is a town in northern Greece, situated in the Thessaloniki regional unit and known for its proximity to Lake Koroneia and its historic thermal baths.
|
E1326373
|
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: Lagkadas | Statement: [Lake Koroneia, nearbySettlement, Lagkadas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagkadas Context triple: [Lake Koroneia, nearbySettlement, Lagkadas]
-
A.
Loksado
Loksado is a rural highland area in South Kalimantan, Indonesia, known for its traditional Dayak culture, rainforest scenery, and bamboo rafting along clear mountain rivers.
-
B.
Lukhumi
Lukhumi is a locality in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
-
C.
Lamalera
Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
-
D.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
E.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
- 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: Lagkadas Triple: [Lake Koroneia, nearbySettlement, Lagkadas]
Generated description
Lagkadas is a town in northern Greece, situated in the Thessaloniki regional unit and known for its proximity to Lake Koroneia and its historic thermal baths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagkadas Target entity description: Lagkadas is a town in northern Greece, situated in the Thessaloniki regional unit and known for its proximity to Lake Koroneia and its historic thermal baths.
-
A.
Loksado
Loksado is a rural highland area in South Kalimantan, Indonesia, known for its traditional Dayak culture, rainforest scenery, and bamboo rafting along clear mountain rivers.
-
B.
Lukhumi
Lukhumi is a locality in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
-
C.
Lamalera
Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
-
D.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
E.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e530617e48819091240d4405e53aaa |
completed | April 19, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f29097881909bacb0df4ec9d307 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a04407a51608190ba78d2c5337dd13f |
completed | May 13, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04412ce3d481909044236be107de8d |
completed | May 13, 2026, 9:15 a.m. |
Created at: April 10, 2026, 11:34 a.m.