Triple
T16915130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agios Vasileios municipality |
E410300
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kerames
Kerames is a small traditional village on the southern coast of Crete, Greece, known for its scenic setting near unspoiled beaches and rugged landscapes.
|
E1240395
|
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: Kerames | Statement: [Agios Vasileios municipality, contains, Kerames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerames Context triple: [Agios Vasileios municipality, contains, Kerames]
-
A.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
B.
Keramoti
Keramoti is a small coastal town in northern Greece that serves as the main ferry gateway to the island of Thasos.
-
C.
Kerium
Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
-
D.
Keratsini
Keratsini is a coastal suburban municipality and port town within the greater Athens metropolitan area in Greece.
-
E.
Keratea
Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
- 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: Kerames Triple: [Agios Vasileios municipality, contains, Kerames]
Generated description
Kerames is a small traditional village on the southern coast of Crete, Greece, known for its scenic setting near unspoiled beaches and rugged landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerames Target entity description: Kerames is a small traditional village on the southern coast of Crete, Greece, known for its scenic setting near unspoiled beaches and rugged landscapes.
-
A.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
B.
Keramoti
Keramoti is a small coastal town in northern Greece that serves as the main ferry gateway to the island of Thasos.
-
C.
Kerium
Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
-
D.
Keratsini
Keratsini is a coastal suburban municipality and port town within the greater Athens metropolitan area in Greece.
-
E.
Keratea
Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca4015648190989904ad7119c3be |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c0cb08819098e2ce2aed4d51b3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c87e9c5081909a09434341a5abaa |
completed | May 10, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c923e6d4819086e91be261d13051 |
completed | May 10, 2026, 6:06 p.m. |
Created at: April 10, 2026, 5:30 a.m.