Triple
T11187357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery Museum of Fine Arts |
E264706
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object | MMFA |
E264706
|
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: MMFA | Statement: [Montgomery Museum of Fine Arts, hasAcronym, MMFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMFA Context triple: [Montgomery Museum of Fine Arts, hasAcronym, MMFA]
-
A.
MMFA
chosen
MMFA is the acronym for the Montgomery Museum of Fine Arts, a prominent art museum in Montgomery, Alabama known for its collections of American art and regional works.
-
B.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
-
C.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
D.
MAAIF
MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
-
E.
MMLO
MMLO is the ICAO airport code for Guanajuato International Airport, a major air transport hub serving the León–Guanajuato region in central Mexico.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ad143481908d5dacc95837ecfd |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483d0f4548190b97c7725a9f7c0e6 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.