Triple
T9248891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Volgar Astrakhan |
E222266
|
entity |
| Predicate | hasHomeCityCountry |
P846
|
FINISHED |
| Object | Astrakhan, Russia |
E380061
|
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: Astrakhan, Russia | Statement: [FC Volgar Astrakhan, hasHomeCityCountry, Astrakhan, Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astrakhan, Russia Context triple: [FC Volgar Astrakhan, hasHomeCityCountry, Astrakhan, Russia]
-
A.
Astrakhan
chosen
Astrakhan is a historic Russian city near the Caspian Sea, known as a key Volga River port and gateway to the Volga Delta region.
-
B.
Orenburg
Orenburg is a major city in southwestern Russia near the Ural River, historically significant as a frontier fortress and administrative center linking European Russia with Central Asia.
-
C.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
D.
Maykop, Russia
Maykop, Russia is the capital city of the Republic of Adygea in the North Caucasus region, known for its oil industry and diverse cultural heritage.
-
E.
Naberezhnye Chelny
Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1d046ac81908deffb4215bbeb82 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:31 p.m.