Triple
T4593900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Rally Championship |
E103561
|
entity |
| Predicate | hasSupportCategory |
P58189
|
FINISHED |
| Object |
ERC4
ERC4 is a support class within the European Rally Championship that features lower-powered, entry-level rally cars and emerging driving talent.
|
E455540
|
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: ERC4 | Statement: [European Rally Championship, hasSupportCategory, ERC4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERC4 Context triple: [European Rally Championship, hasSupportCategory, ERC4]
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ERC
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
-
C.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
D.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
E.
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
- 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: ERC4 Triple: [European Rally Championship, hasSupportCategory, ERC4]
Generated description
ERC4 is a support class within the European Rally Championship that features lower-powered, entry-level rally cars and emerging driving talent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERC4 Target entity description: ERC4 is a support class within the European Rally Championship that features lower-powered, entry-level rally cars and emerging driving talent.
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ERC
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
-
C.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
D.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
E.
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6234e8108190b985270b9ddd1f3a |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0d7fce08190ac1e81b789a8242a |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bdf01ae4848190a1db1801a35aa687 |
completed | March 21, 2026, 1:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdf06f79488190812e7c55d2456d51 |
completed | March 21, 2026, 1:12 a.m. |
Created at: March 20, 2026, 1:11 p.m.