Triple
T3321214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Research Group |
E69798
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
ERG
ERG is a faction of Conservative Party MPs in the United Kingdom known for its strong support of Brexit and advocacy for Eurosceptic policies.
|
E348911
|
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: ERG | Statement: [European Research Group, hasAbbreviation, ERG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERG Context triple: [European Research Group, hasAbbreviation, ERG]
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
EPRG
EPRG is a research group focused on analyzing and informing energy and environmental policy, often through interdisciplinary economic and policy studies.
-
C.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
D.
EGR
EGR is the commonly used abbreviation for the United Nations Environment Programme’s annual Emissions Gap Report, which assesses the difference between projected greenhouse gas emissions and levels consistent with global climate goals.
-
E.
ER
ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
- 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: ERG Triple: [European Research Group, hasAbbreviation, ERG]
Generated description
ERG is a faction of Conservative Party MPs in the United Kingdom known for its strong support of Brexit and advocacy for Eurosceptic policies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERG Target entity description: ERG is a faction of Conservative Party MPs in the United Kingdom known for its strong support of Brexit and advocacy for Eurosceptic policies.
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
EPRG
EPRG is a research group focused on analyzing and informing energy and environmental policy, often through interdisciplinary economic and policy studies.
-
C.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
D.
EGR
EGR is the commonly used abbreviation for the United Nations Environment Programme’s annual Emissions Gap Report, which assesses the difference between projected greenhouse gas emissions and levels consistent with global climate goals.
-
E.
ER
ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13b85208190b13aba355d5dafcf |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7954248190b0c7b5d6ab3c6687 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c34cc388190a5fab8e9b2a1aa92 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da025048190b7d1611df82a542c |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:11 p.m.