Triple
T14193760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volos NFC |
E351779
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | 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: Volos | Statement: [Volos NFC, shortName, Volos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volos Context triple: [Volos NFC, shortName, Volos]
-
A.
Volos
chosen
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
B.
Karditsa
Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
-
C.
Lavrio
Lavrio is a coastal town in southeastern Attica, Greece, historically known for its ancient silver mines and modern port facilities.
-
D.
Grevena
Grevena is a small city in northern Greece known for its mountainous surroundings, rich natural landscapes, and production of mushrooms and dairy products.
-
E.
Kilkis
Kilkis is a town in northern Greece that serves as an important regional center in Central Macedonia, known for its role in the Balkan Wars and its surrounding agricultural plain.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:04 a.m.