Triple
T20610762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DMP PICA200 |
E506440
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | PICA200 |
—
|
NE NERFINISHED |
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: PICA200 | Statement: [DMP PICA200, alsoKnownAs, PICA200]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PICA200 Context triple: [DMP PICA200, alsoKnownAs, PICA200]
-
A.
PICA-X
PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
-
B.
PICA
PICA is a Portland-based arts organization known for presenting and supporting innovative contemporary visual and performing arts, including its prominent Time-Based Art Festival.
-
C.
PICA
PICA is the abbreviation for Picatinny Arsenal, a U.S. Army research and manufacturing facility specializing in armaments and munitions development.
-
D.
DMP PICA200
chosen
The DMP PICA200 is a low-power, programmable graphics processing unit designed by Digital Media Professionals, best known for providing the 3D graphics capabilities in the Nintendo 3DS handheld console.
-
E.
PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.