Triple
T6765611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Medical Center |
E154710
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MMC |
E329187
|
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: MMC | Statement: [Maine Medical Center, abbreviation, MMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMC Context triple: [Maine Medical Center, abbreviation, MMC]
-
A.
MMC
MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance.
-
B.
MMC
chosen
MMC is the commonly used abbreviation for the Modesto A. Maidique Campus of Florida International University in Miami, Florida.
-
C.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
-
D.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
E.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712be7f9c8190b2667fc4c8d5f601 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:12 p.m.