Triple
T20705215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NoMA |
E508887
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NoMA |
—
|
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: NoMA | Statement: [NoMA, abbreviation, NoMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NoMA Context triple: [NoMA, abbreviation, NoMA]
-
A.
NoMA
chosen
NoMA is the Norwegian Medicines Agency, the national authority responsible for regulating, approving, and monitoring medicines and medical devices in Norway.
-
B.
NoMa
NoMa is a rapidly developing neighborhood in Washington, D.C., known for its mixed-use developments, modern office buildings, and proximity to downtown.
-
C.
NoHo
NoHo is a small, upscale neighborhood in Lower Manhattan known for its historic cast-iron architecture, converted lofts, and vibrant arts and dining scene.
-
D.
NoHo
NoHo is a vibrant arts and entertainment district in the North Hollywood neighborhood of Los Angeles known for its theaters, galleries, and creative community.
-
E.
Crystal City
Crystal City is an urban neighborhood in Arlington, Virginia, known for its high-rise offices, residential towers, and proximity to Washington, D.C.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18ea874819092a125d9f929a311 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:13 p.m.