Triple
T16684809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambracian Gulf |
E405433
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Vonitsa |
E613351
|
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: Vonitsa | Statement: [Ambracian Gulf, hasCityOnShore, Vonitsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vonitsa Context triple: [Ambracian Gulf, hasCityOnShore, Vonitsa]
-
A.
Vonitsa
chosen
Vonitsa is a coastal town in western Greece, situated on the Ambracian Gulf and known for its Venetian castle and scenic waterfront.
-
B.
Vourgareli
Vourgareli is a traditional mountain village in the Tzoumerka region of Epirus, Greece, known for its natural beauty and historical stone architecture.
-
C.
Giannitsa
Giannitsa is a town in northern Greece that serves as an important agricultural and commercial center in the region of Central Macedonia.
-
D.
Karpenisi
Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
-
E.
Vlahi
Vlahi are an ethnographic group in Istria who identify as Vlachs, a Romance-speaking people historically spread across parts of the Balkans.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a422f8c8190873fd7089df8fbd4 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.