Triple
T300669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DASC |
E6190
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | DASC |
E6190
|
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: DASC | Statement: [DASC, acronym, DASC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DASC Context triple: [DASC, acronym, DASC]
-
A.
DASC
chosen
DASC is a leading annual technical conference focused on digital avionics systems, organized jointly by IEEE and AIAA.
-
B.
DSCD
DSCD is the Dynamic Systems and Control Division of the American Society of Mechanical Engineers, focusing on research, education, and professional activities in systems dynamics, control theory, and related technologies.
-
C.
DPS
DPS is the commonly used abbreviation for the Division for Planetary Sciences, a major professional organization focused on the study of planets, moons, and other bodies in the solar system and beyond.
-
D.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3aba14b0881908eb4f62ac9261d63 |
completed | March 1, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.