Triple
T16524015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DGS |
E401388
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DGS |
E38588
|
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: DGS | Statement: [DGS, abbreviation, DGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGS Context triple: [DGS, abbreviation, DGS]
-
A.
DGS
chosen
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
-
B.
DGS
The DGS was the notorious political police force of Portugal’s Estado Novo dictatorship, responsible for repressing dissent and persecuting regime opponents.
-
C.
GDS
GDS (the Government Digital Service) is a unit of the UK government responsible for transforming public services through digital technology and user‑centred design.
-
D.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
E.
DGF
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed2622c8190b6429a49ca92284a |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758d82748190acfb8bbc3047d5a5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:14 a.m.