Triple
T10558420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerzy Mniszech |
E249149
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object | starost of Sambor |
E661982
|
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: starost of Sambor | Statement: [Jerzy Mniszech, positionHeld, starost of Sambor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: starost of Sambor Context triple: [Jerzy Mniszech, positionHeld, starost of Sambor]
-
A.
Samor
Samor is a regional dialect of the Tugen language spoken by the Tugen people of Kenya.
-
B.
Csatay
Csatay is a Hungarian surname most notably associated with László Csatay, a Hungarian military officer and politician.
-
C.
Sambir
chosen
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
-
D.
Sambursky
Sambursky is the surname of Shmuel Sambursky, an Israeli physicist and historian of science known for his work on the conceptual foundations of physics in antiquity and the Middle Ages.
-
E.
Mošorin
Mošorin is a village in northern Serbia, situated in the autonomous province of Vojvodina within the Titel municipality.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271521a4819086d96e1f183ab07a |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93486c7288190a2ccb822fc968919 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:35 p.m.