Triple
T5681843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APS Division of Laser Science |
E125216
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DLS |
E355610
|
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: DLS | Statement: [APS Division of Laser Science, abbreviation, DLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DLS Context triple: [APS Division of Laser Science, abbreviation, DLS]
-
A.
DLS
chosen
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
DIL
DIL is a German research institute specializing in food technology and innovation.
-
C.
DLA
DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
-
D.
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
E.
DPL
DPL is a U.S. government export control list identifying individuals and organizations prohibited from participating in export-related activities.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02398fd548190be5fa479ba703796 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a35dd9c8190acd2ee8e94f309a6 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.