Triple
T8086066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Department of Mental Health |
E188735
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | MassHealth |
E22982
|
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: MassHealth | Statement: [Massachusetts Department of Mental Health, collaboratesWith, MassHealth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MassHealth Context triple: [Massachusetts Department of Mental Health, collaboratesWith, MassHealth]
-
A.
Medicaid
chosen
Medicaid is a U.S. government health insurance program that provides medical coverage to low-income individuals and families, jointly funded by federal and state governments.
-
B.
Medicare
Medicare is a U.S. federal health insurance program primarily serving people aged 65 and older, as well as certain younger individuals with disabilities or specific medical conditions.
-
C.
Multicare
Multicare is a Portuguese health insurance brand that operates as a subsidiary of Fidelidade, offering a range of medical and wellness coverage products.
-
D.
HIP
HIP is a C++ runtime and programming model developed by AMD that enables portable GPU-accelerated code across AMD and NVIDIA hardware.
-
E.
HIP
HIP is the vehicle registration code for the German district of Roth in the state of Bavaria.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4160e4748190ae63624a2a03d09f |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6402e41c819095442775938d4282 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.