Triple
T16952542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambien |
E411218
|
entity |
| Predicate | hasGenericName |
P23148
|
FINISHED |
| Object | zolpidem |
E411218
|
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: zolpidem | Statement: [Ambien, hasGenericName, zolpidem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: zolpidem Context triple: [Ambien, hasGenericName, zolpidem]
-
A.
Ambien
chosen
Ambien is a widely prescribed sedative-hypnotic medication (generic name zolpidem) used short-term to treat insomnia by helping people fall asleep more quickly.
-
B.
Natonin
Natonin is a remote, mountainous municipality in the Philippine province of Mountain Province, known for its indigenous communities and use of the Balangao language.
-
C.
Aptidon
Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
-
D.
Daypro
Daypro is a prescription nonsteroidal anti-inflammatory drug (NSAID) containing oxaprozin, used to relieve pain and inflammation in conditions such as osteoarthritis and rheumatoid arthritis.
-
E.
Sibutad
Sibutad is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing communities and rural character.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0197f308190af7185fc9cc7a6e9 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.