Triple
T12354457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandanski |
E294571
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Melnik |
E496973
|
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: Melnik | Statement: [Sandanski, hasNearbyAttraction, Melnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melnik Context triple: [Sandanski, hasNearbyAttraction, Melnik]
-
A.
Melnik
chosen
Melnik is a small historic town in southwestern Bulgaria, renowned for its distinctive sandstone pyramids, traditional architecture, and local wine production.
-
B.
Malinovsky
Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
-
C.
Menzhinsky
Menzhinsky is a Russian surname most notably associated with Vyacheslav Menzhinsky, a prominent early Soviet state security official and head of the OGPU.
-
D.
Melenki
Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
-
E.
Yezernitsky
Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346faa0481909e2f8463bff88c52 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.