Triple
T9151855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Rus' |
E219604
|
entity |
| Predicate | hadImportantCity |
P22141
|
FINISHED |
| Object | Kholm |
E384627
|
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: Kholm | Statement: [Kingdom of Rus', hadImportantCity, Kholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kholm Context triple: [Kingdom of Rus', hadImportantCity, Kholm]
-
A.
Kholm
chosen
Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
-
B.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
C.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
D.
Zaraysk
Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96cf4548190a3a45172f0e9d0ec |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20c9b4c3c8190bfe58a75e93b20b8 |
completed | April 5, 2026, 7:17 a.m. |
Created at: March 30, 2026, 7:20 p.m.