Triple
T16043220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MDFL |
E389148
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MDFL |
E389148
|
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: MDFL | Statement: [MDFL, hasAbbreviation, MDFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDFL Context triple: [MDFL, hasAbbreviation, MDFL]
-
A.
MDFL
chosen
MDFL is the commonly used abbreviation for the United States District Court for the Middle District of Florida, a federal trial court within the Eleventh Circuit.
-
B.
MDDF
MDDF is the state defense force of Maryland, a volunteer military organization that supports the Maryland National Guard and state emergency operations.
-
C.
MLF
MLF is the Multilateral Fund that finances and supports developing countries in phasing out ozone-depleting substances under the Montreal Protocol.
-
D.
MDH
MDH is the commonly used abbreviation for the Faculty of Medicine, Dentistry and Health, an academic division focused on education and research in medical, dental and health sciences.
-
E.
MDH
MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835c5bd48190b5b47379bf51f84e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd95d508190a21db435fb69f8d7 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.