Triple
T12641352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vari-Voula-Vouliagmeni |
E301904
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vari |
E373049
|
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: Vari | Statement: [Vari-Voula-Vouliagmeni, contains, Vari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vari Context triple: [Vari-Voula-Vouliagmeni, contains, Vari]
-
A.
Vari
chosen
Vari is a settlement on the Greek island of Syros, known for its coastal location and beaches in the Cyclades.
-
B.
Vir
Vir is a Croatian island in the Adriatic Sea, located off the coast of northern Dalmatia and connected to the mainland by a bridge.
-
C.
Vir
Vir is the given name of Bhai Vir Singh, a prominent Punjabi poet, scholar, and key figure of the Sikh renaissance.
-
D.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
-
E.
Ven
Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719a45d881908dd895836a225781 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:17 p.m.