Triple
T11629642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imittos |
E276361
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Evzonas |
E276358
|
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: Evzonas | Statement: [Imittos, hasHighestPoint, Evzonas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evzonas Context triple: [Imittos, hasHighestPoint, Evzonas]
-
A.
Evzonas
chosen
Evzonas is the summit that forms the highest peak of Mount Hymettus near Athens, Greece.
-
B.
Zalavas
Zalavas is a locality in present-day Lithuania historically known by its Polish name Zułów, notably associated with the early life of Józef Piłsudski.
-
C.
Vromonas
Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
-
D.
Georgalis
Georgalis is the Greek family name of legendary basketball player Nikos Galis, one of Europe’s greatest scorers.
-
E.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87a20af481909b47775c7cb6ec3b |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.