Triple
T15573184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Κοιλάδα των Τεμπών |
E374297
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Ομόλιο |
E1144266
|
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: Ομόλιο | Statement: [Κοιλάδα των Τεμπών, hasNearbySettlement, Ομόλιο]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ομόλιο Context triple: [Κοιλάδα των Τεμπών, hasNearbySettlement, Ομόλιο]
-
A.
Loutsa
Loutsa is a coastal village in northwestern Greece known for its long sandy beach and clear Ionian Sea waters, making it a popular summer tourist destination.
-
B.
Evdilos
Evdilos is a coastal town and port on the Greek island of Ikaria, serving as one of its main transportation and administrative hubs.
-
C.
Lygourio
Lygourio is a small town in the Peloponnese region of Greece, known as the nearest modern settlement to the ancient Theatre of Epidaurus.
-
D.
Makrygialos
Makrygialos is a coastal village and seaside resort in the Pieria regional unit of northern Greece, known for its beaches along the Thermaic Gulf.
-
E.
Vamvakou
chosen
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4767e48190a180062688cdc245 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.