Triple
T3901325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERC Ingolstadt |
E90495
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ERCI
ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
|
E398233
|
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: ERCI | Statement: [ERC Ingolstadt, shortName, ERCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERCI Context triple: [ERC Ingolstadt, shortName, ERCI]
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ERCEA
ERCEA is the executive agency of the European Commission responsible for managing the scientific and administrative operations of the European Research Council.
-
C.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
D.
ECR
ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
-
E.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
- 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: ERCI Triple: [ERC Ingolstadt, shortName, ERCI]
Generated description
ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERCI Target entity description: ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ERCEA
ERCEA is the executive agency of the European Commission responsible for managing the scientific and administrative operations of the European Research Council.
-
C.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
D.
ECR
ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
-
E.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
- 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.