Triple
T6770197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Office of Mental Health |
E155023
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OMH |
E155023
|
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: OMH | Statement: [New York State Office of Mental Health, abbreviation, OMH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMH Context triple: [New York State Office of Mental Health, abbreviation, OMH]
-
A.
OMH
chosen
OMH is the commonly used abbreviation for the New York State Office of Mental Health, the state agency responsible for overseeing public mental health services in New York.
-
B.
OMF
OMF is an abbreviation for the Seiji Ozawa Matsumoto Festival, a renowned classical music festival in Japan founded by conductor Seiji Ozawa.
-
C.
OM
OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
-
D.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
E.
OM
OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2347fb48190a44c03317b5ecfd7 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712c46b70819097401afab991c808 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.