Triple
T9528206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Health (Singapore) |
E229815
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MOH |
E747128
|
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: MOH | Statement: [Ministry of Health (Singapore), shortName, MOH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOH Context triple: [Ministry of Health (Singapore), shortName, MOH]
-
A.
MOH
MOH is the commonly used abbreviation for the United States Air Force’s highest military decoration awarded for extraordinary acts of valor.
-
B.
MOH
chosen
MOH is the abbreviated name of Vietnam’s Ministry of Health, the government body responsible for national health policy and administration.
-
C.
MOAH
MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
-
D.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
-
E.
M.O.
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b0466081908eb637e2185dea37 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c30c6008190b2eff99d74f18070 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.