Triple
T21586309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesyk |
E532659
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Lesko |
—
|
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: Lesko | Statement: [Lesyk, relatedName, Lesko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesko Context triple: [Lesyk, relatedName, Lesko]
-
A.
Lesko
chosen
Lesko is a small town in southeastern Poland, often considered a gateway to the Bieszczady Mountains and known for its historic architecture and scenic surroundings.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Klier
Klier is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
-
D.
Lembeck
Lembeck is a surname most notably associated with American actor and comedian Harvey Lembeck.
-
E.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb6137fc8190840b7c1275e62a1d |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.