Triple
T14758306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pushkinsky District |
E346788
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shushary |
E335326
|
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: Shushary | Statement: [Pushkinsky District, contains, Shushary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shushary Context triple: [Pushkinsky District, contains, Shushary]
-
A.
Shushary
chosen
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
B.
Serakhulle
Serakhulle refers to the Soninke people, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
-
C.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
D.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.