Triple
T4736185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OHSAS 18001 |
E105131
|
entity |
| Predicate | series |
P1761
|
FINISHED |
| Object | OHSAS |
E105131
|
NE 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: OHSAS | Statement: [OHSAS 18001, series, OHSAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OHSAS Context triple: [OHSAS 18001, series, OHSAS]
-
A.
OHSAS 18001
chosen
OHSAS 18001 is a former international standard for occupational health and safety management systems that was replaced by ISO 45001.
-
B.
ISO 45001
ISO 45001 is an international standard that specifies requirements for an occupational health and safety management system to help organizations improve worker safety and reduce workplace risks.
-
C.
HSE
HSE is a leading Russian research university known for its strong programs in economics, social sciences, and data analysis, with campuses in Moscow and several other major cities.
-
D.
Health and Safety Executive
The Health and Safety Executive is the United Kingdom’s national regulator responsible for enforcing workplace health, safety, and welfare laws and promoting safer working environments.
-
E.
EOHHS
EOHHS is the Massachusetts state agency responsible for overseeing health and human services programs, including public health, Medicaid, and social services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10b49b90819091c3ab38e976baeb |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:19 p.m.