Triple
T14015083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DRAM |
E337183
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | DRAM |
E201374
|
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: DRAM | Statement: [DRAM, name, DRAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DRAM Context triple: [DRAM, name, DRAM]
-
A.
DRAM
chosen
DRAM (Dynamic Random-Access Memory) is a type of volatile semiconductor memory widely used as the main system memory in computers and other digital devices due to its high density and relatively low cost.
-
B.
DRAM
DRAM is an American rapper and singer known for his eclectic blend of hip hop, R&B, and soul, highlighted by his hit single "Broccoli."
-
C.
DDR
DDR is the commonly used German abbreviation for the former socialist state officially known as the German Democratic Republic (East Germany), which existed from 1949 to 1990.
-
D.
RAM
RAM is the official institution responsible for producing Australia's circulating and collectible coins.
-
E.
RAM
RAM is the National Rail station code for Ramsgate railway station in Kent, England.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.