Triple
T19431687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pades |
E486127
|
entity |
| Predicate | nearbyMountain |
P10602
|
FINISHED |
| Object | Smolikas |
—
|
NE NERFINISHED |
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: Smolikas | Statement: [Pades, nearbyMountain, Smolikas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smolikas Context triple: [Pades, nearbyMountain, Smolikas]
-
A.
Smolikas
chosen
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
B.
Mickoski
Mickoski is a Macedonian surname most prominently associated with Hristijan Mickoski, a leading politician in North Macedonia.
-
C.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
D.
Benakis
Benakis is a Greek surname associated with the prominent Benakis family, known for its contributions to Greek culture, philanthropy, and public life.
-
E.
Skoparnik
Skoparnik is one of the main peaks of Bulgaria’s Vitosha Mountain, known for its hiking routes and panoramic views over the Sofia region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335b4e388190913ded15ad165b7b |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.