Triple
T15288949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fthiotida regional unit |
E365476
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Kammena Vourla |
E964264
|
NE FINISHED |
How this triple was built (2 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: Kammena Vourla | Statement: [Fthiotida regional unit, hasPort, Kammena Vourla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kammena Vourla Context triple: [Fthiotida regional unit, hasPort, Kammena Vourla]
-
A.
Kammena Vourla
chosen
Kammena Vourla is a coastal spa town in central Greece known for its thermal springs and seaside tourism.
-
B.
Tsolikouri
Tsolikouri is a white grape variety from western Georgia, especially valued in Imereti for producing fresh, aromatic wines with balanced acidity.
-
C.
Lavreotiki
Lavreotiki is a municipality in East Attica, Greece, known for its historic mining town of Lavrio and its ancient silver mines that were crucial to classical Athens.
-
D.
Giannutri
Giannutri is a small Italian island in the Tyrrhenian Sea, known for its rugged coastline, clear waters, and protected natural environment.
-
E.
Vamvakou
Vamvakou is a small village in the vicinity of Farsala in central Greece.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6582908190a9a56652e9ccc5a1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:15 a.m.