Triple
T5892910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porosenkov Log mass grave |
E131032
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Porosenkov Log |
E503104
|
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: Porosenkov Log | Statement: [Porosenkov Log mass grave, locatedOn, Porosenkov Log]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porosenkov Log Context triple: [Porosenkov Log mass grave, locatedOn, Porosenkov Log]
-
A.
Porosenkov Log
chosen
Porosenkov Log is a forested area near Yekaterinburg, Russia, known as one of the sites associated with the execution and secret burial of the last Russian imperial family, the Romanovs.
-
B.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
C.
Kologriv
Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Sergiyev
Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b5c68481909fdcba428238c74d |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15146888190ab86eaf9e565ee28 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.