Triple
T33863115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILO Maritime Labour Convention |
E867972
|
entity |
| Predicate | title2Covers |
P199003
|
FINISHED |
| Object | conditions of employment |
—
|
LITERAL FINISHED |
How this triple was built (2 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: conditions of employment | Statement: [ILO Maritime Labour Convention, title2Covers, conditions of employment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: title2Covers Context triple: [ILO Maritime Labour Convention, title2Covers, conditions of employment]
-
A.
title1Covers
Indicates that one title or document provides coverage, inclusion, or treatment of the subject matter of another title or document.
-
B.
titleIVCovers
Indicates that the subject entity falls under or is included within the scope of Title IV regulations or provisions.
-
C.
coverVersionTitle
Indicates that one creative work is a cover version of another and specifies the title used for that cover version.
-
D.
book4Covers
Indicates that one entity is the front or outer covering (such as a dust jacket or protective layer) of a book.
-
E.
book2Covers
Indicates that one entity (typically a book) has another entity as its cover or is associated with a specific cover representation.
- F. None of above. chosen
Provenance (4 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
| PDg | Predicate description generation | batch_69ff1a95b6fc81909331bb03e263b5b9 |
completed | May 9, 2026, 11:29 a.m. |
Created at: May 1, 2026, 1:47 a.m.