Triple
T210774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Optical Society of America |
E4712
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OSA |
E4712
|
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: OSA | Statement: [Optical Society of America, abbreviation, OSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSA Context triple: [Optical Society of America, abbreviation, OSA]
-
A.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
B.
Optical Society of America
chosen
The Optical Society of America is a leading professional organization dedicated to advancing the study and application of optics and photonics through research, education, and industry collaboration.
-
C.
OC
OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
-
D.
AAS
AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
-
E.
AAS
AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a332cb28e08190a4e159b2631f5eb8 |
completed | Feb. 28, 2026, 6:24 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.