Triple
T8673122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Volos |
E205848
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Volos |
E70568
|
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: city of Volos | Statement: [Port of Volos, serves, city of Volos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Volos Context triple: [Port of Volos, serves, city of Volos]
-
A.
city of Larissa
The city of Larissa is a major urban center in central Greece, historically significant as a Thessalian capital and modern regional hub for agriculture, commerce, and culture.
-
B.
city of Igoumenitsa
The city of Igoumenitsa is a coastal town in northwestern Greece that serves as a key gateway to Italy and the Ionian Islands via its major ferry port.
-
C.
Volos
chosen
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
D.
Volissos
Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
-
E.
Thessalon
Thessalon is a small town in Ontario, Canada, situated on the north shore of Lake Huron and known for its forestry, outdoor recreation, and lakeside setting.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491b807c81909563a34a947bc21a |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd43c91c8190a9d1e5d14d764530 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.