Triple
T10552704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Rugby |
E248993
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MLR
MLR is a professional rugby union league in North America featuring teams from the United States and Canada.
|
E870292
|
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: MLR | Statement: [Major League Rugby, abbreviation, MLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLR Context triple: [Major League Rugby, abbreviation, MLR]
-
A.
LIML
LIML is the ICAO airport code for Milan Linate Airport, a major city airport serving Milan, Italy.
-
B.
MS&LR
MS&LR was a major 19th-century British railway company that operated routes connecting Manchester, Sheffield, and Lincolnshire and later evolved into part of the Great Central Railway.
-
C.
ML-1
ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
-
D.
MLU
MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
-
E.
MLE
MLE is the IATA airport code for Velana International Airport, the main international gateway to the Maldives located near the capital city Malé.
- 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: MLR Triple: [Major League Rugby, abbreviation, MLR]
Generated description
MLR is a professional rugby union league in North America featuring teams from the United States and Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLR Target entity description: MLR is a professional rugby union league in North America featuring teams from the United States and Canada.
-
A.
LIML
LIML is the ICAO airport code for Milan Linate Airport, a major city airport serving Milan, Italy.
-
B.
MS&LR
MS&LR was a major 19th-century British railway company that operated routes connecting Manchester, Sheffield, and Lincolnshire and later evolved into part of the Great Central Railway.
-
C.
ML-1
ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
-
D.
MLU
MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
-
E.
MLE
MLE is the IATA airport code for Velana International Airport, the main international gateway to the Maldives located near the capital city Malé.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d5820c8190a1ad6d6551d093bb |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:34 p.m.