Triple
T3901340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERC Ingolstadt |
E90495
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ERC
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
|
E398235
|
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: ERC | Statement: [ERC Ingolstadt, abbreviation, ERC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERC Context triple: [ERC Ingolstadt, abbreviation, ERC]
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
C.
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
-
D.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
E.
REN token
REN token is the native cryptocurrency of the Ren protocol, used primarily for staking and securing its decentralized network of Darknodes that enable cross-chain asset transfers.
- 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: ERC Triple: [ERC Ingolstadt, abbreviation, ERC]
Generated description
ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERC Target entity description: ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
-
A.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
B.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
C.
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
-
D.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
E.
REN token
REN token is the native cryptocurrency of the Ren protocol, used primarily for staking and securing its decentralized network of Darknodes that enable cross-chain asset transfers.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf2f230819099abc109a0b7d916 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca7636081908f98c4e22617f808 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b5207c0cfc8190aae16e8a88348679 |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52163bf888190b38f87d22ecd200e |
completed | March 14, 2026, 8:50 a.m. |
Created at: March 9, 2026, 3:21 p.m.