Triple
T11225994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DFSS |
E265693
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DFSS |
E265693
|
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: DFSS | Statement: [DFSS, abbreviation, DFSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFSS Context triple: [DFSS, abbreviation, DFSS]
-
A.
DFSS
chosen
DFSS is a Chicago city agency that provides social services and support programs to children, youth, families, seniors, and vulnerable residents.
-
B.
Six Sigma
Six Sigma is a data-driven methodology and set of tools for process improvement that aims to reduce defects and variability in manufacturing and business operations.
-
C.
DSMM
DSMM is Malaysia’s national authority responsible for land surveying, mapping, and geospatial data management.
-
D.
QMS
QMS is the U.S. Army’s Quartermaster School, responsible for training and developing logistics, supply, and sustainment professionals for the Army.
-
E.
DFD
DFD is the abbreviation for the Democratic Women’s League of Germany, a mass women’s organization that operated in East 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad269b248190bb72e560e3efc0ce |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.