Triple
T21931488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOA |
E541576
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MOA |
—
|
NE NERFINISHED |
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: MOA | Statement: [MOA, shortName, MOA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOA Context triple: [MOA, shortName, MOA]
-
A.
MOA
chosen
MOA is a renowned anthropology museum at the University of British Columbia in Vancouver, best known for its extensive collections of Indigenous art and cultural artifacts from around the world.
-
B.
MOAH
MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
-
C.
MOIA
MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
-
D.
MOIS
MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
-
E.
Moaadi
Moaadi is the surname of Iranian-American actor, screenwriter, and director Payman Maadi, known for his acclaimed performances in contemporary Iranian cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ff16148190843d92bbc1e9bb24 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:47 p.m.