Triple
T10508383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port State |
E247842
|
entity |
| Predicate | hasLegalBasisIn |
P125
|
FINISHED |
| Object |
MLC 2006
MLC 2006 is an international maritime labor convention that sets comprehensive minimum standards for the working and living conditions of seafarers worldwide.
|
E867973
|
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: MLC 2006 | Statement: [Port State, hasLegalBasisIn, MLC 2006]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLC 2006 Context triple: [Port State, hasLegalBasisIn, MLC 2006]
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLD
MLD is the abbreviation for the Netherlands Naval Aviation Service, the air arm of the Royal Netherlands Navy responsible for maritime aviation operations.
-
C.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
D.
ML-2
ML-2 is a major north–south railway corridor in Pakistan that serves as one of the country’s principal main lines parallel to the primary ML-1 route.
-
E.
ML3
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
- 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: MLC 2006 Triple: [Port State, hasLegalBasisIn, MLC 2006]
Generated description
MLC 2006 is an international maritime labor convention that sets comprehensive minimum standards for the working and living conditions of seafarers worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLC 2006 Target entity description: MLC 2006 is an international maritime labor convention that sets comprehensive minimum standards for the working and living conditions of seafarers worldwide.
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLD
MLD is the abbreviation for the Netherlands Naval Aviation Service, the air arm of the Royal Netherlands Navy responsible for maritime aviation operations.
-
C.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
D.
ML-2
ML-2 is a major north–south railway corridor in Pakistan that serves as one of the country’s principal main lines parallel to the primary ML-1 route.
-
E.
ML3
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b287ac8190805a2375bd16b7ae |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dce30d788190b4a40340b9200b10 |
completed | April 10, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d8e8ca94508190a2a6beca7f01fbd8 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9020bce488190b78e555cdd5caec4 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:26 p.m.