Triple
T12341542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatneft |
E294237
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Almetyevsk |
E338443
|
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: Almetyevsk | Statement: [Tatneft, headquartersLocation, Almetyevsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almetyevsk Context triple: [Tatneft, headquartersLocation, Almetyevsk]
-
A.
Almetyevsk
chosen
Almetyevsk is an industrial city in the Republic of Tatarstan, Russia, known especially as a major center of the country’s oil industry.
-
B.
Nizhnekamsk
Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
-
C.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
D.
Novokuybyshevsk
Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
-
E.
Tolyatti
Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7758dc8190bbc6a9ad00b01dce |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e256fe408190bd40b62eb51b6ef9 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:53 p.m.