Triple
T21826968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Honor ribbon |
E538879
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MOH ribbon |
—
|
NE NERFINISHED |
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 ribbon | Statement: [Medal of Honor ribbon, hasAbbreviation, MOH ribbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOH ribbon Context triple: [Medal of Honor ribbon, hasAbbreviation, MOH ribbon]
-
A.
MOH
MOH is the abbreviated name of Vietnam’s Ministry of Health, the government body responsible for national health policy and administration.
-
B.
MOH
MOH is the commonly used acronym for the Israeli Ministry of Health, the government body responsible for public health policy, regulation, and healthcare services in Israel.
-
C.
MOH
chosen
MOH is an abbreviation for the Medal of Honor, the United States' highest and most prestigious military decoration awarded for acts of valor above and beyond the call of duty.
-
D.
MOH
MOH is the commonly used abbreviation for the United States Air Force’s highest military decoration awarded for extraordinary acts of valor.
-
E.
MOHAP
MOHAP is the federal government body responsible for overseeing public health, healthcare services, and disease prevention across the United Arab Emirates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f09132ae888190b8c1a8e75b96b5fd |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.