Triple
T5689096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLARITY AD |
E125383
|
entity |
| Predicate | drugBrandName |
P40804
|
FINISHED |
| Object | Leqembi |
E25439
|
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: Leqembi | Statement: [CLARITY AD, drugBrandName, Leqembi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leqembi Context triple: [CLARITY AD, drugBrandName, Leqembi]
-
A.
Leqembi
chosen
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
B.
Cribyn
Cribyn is a prominent mountain peak in the central Brecon Beacons of South Wales, popular with hikers for its steep slopes and panoramic views.
-
C.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
D.
Chéserex
Chéserex is a small Swiss municipality in the canton of Vaud, situated near the Jura Mountains above Lake Geneva.
-
E.
Vircava
Vircava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e1c6148190aeae7620bd9ee9d4 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd1758c8190ad92f250e5927c0b |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:44 p.m.