Triple
T8463061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haas F1 Team |
E200089
|
entity |
| Predicate | formerTitleSponsor |
P15098
|
FINISHED |
| Object |
Uralkali
Uralkali is a major Russian potash fertilizer producer known for its global exports and high-profile sports sponsorships.
|
E736032
|
NE FINISHED |
How this triple was built (4 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: Uralkali | Statement: [Haas F1 Team, formerTitleSponsor, Uralkali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uralkali Context triple: [Haas F1 Team, formerTitleSponsor, Uralkali]
-
A.
Mirny
Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
-
B.
Boksitogorsk
Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
-
C.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
-
D.
Norilsk
Norilsk is a remote industrial city in northern Siberia, Russia, known for its massive nickel and palladium mining operations, extreme Arctic climate, and severe environmental pollution.
-
E.
Laurium
Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uralkali Triple: [Haas F1 Team, formerTitleSponsor, Uralkali]
Generated description
Uralkali is a major Russian potash fertilizer producer known for its global exports and high-profile sports sponsorships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uralkali Target entity description: Uralkali is a major Russian potash fertilizer producer known for its global exports and high-profile sports sponsorships.
-
A.
Mirny
Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
-
B.
Boksitogorsk
Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
-
C.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
-
D.
Norilsk
Norilsk is a remote industrial city in northern Siberia, Russia, known for its massive nickel and palladium mining operations, extreme Arctic climate, and severe environmental pollution.
-
E.
Laurium
Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
- F. None of above. chosen
Provenance (5 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a251f08190840a7fc31ff528b5 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39d5f50081908e273d5286a0d397 |
completed | April 2, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ce3bf7d2748190ad7ca0649fe2cb0f |
completed | April 2, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c8aac8c8190a81c2c51cd0c06e0 |
completed | April 2, 2026, 9:53 a.m. |
Created at: March 30, 2026, 6:10 p.m.