Triple
T18389296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Implementation |
E449678
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
ERU
ERU is the standard unit used to quantify emissions reductions achieved through Joint Implementation projects under the Kyoto Protocol.
|
E1321076
|
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: ERU | Statement: [Joint Implementation, hasAbbreviation, ERU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERU Context triple: [Joint Implementation, hasAbbreviation, ERU]
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ERI
ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
-
C.
ERI
ERI is the IATA airport code for Erie International Airport, a commercial airport serving Erie, Pennsylvania.
-
D.
UER
UER is the vehicle registration code used on license plates for the Vorpommern-Greifswald district in the German state of Mecklenburg-Vorpommern.
-
E.
UER
UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
- 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: ERU Triple: [Joint Implementation, hasAbbreviation, ERU]
Generated description
ERU is the standard unit used to quantify emissions reductions achieved through Joint Implementation projects under the Kyoto Protocol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERU Target entity description: ERU is the standard unit used to quantify emissions reductions achieved through Joint Implementation projects under the Kyoto Protocol.
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ERI
ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
-
C.
ERI
ERI is the IATA airport code for Erie International Airport, a commercial airport serving Erie, Pennsylvania.
-
D.
UER
UER is the vehicle registration code used on license plates for the Vorpommern-Greifswald district in the German state of Mecklenburg-Vorpommern.
-
E.
UER
UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51840884c81908e84e9206b4739ee |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d786ac888190bc5984ee83ea6e0f |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8512d4c8190b113f7ed1f8a044c |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8d863cc819098b46d5d26db05cd |
completed | May 13, 2026, 1:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.