Triple
T3913548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decent Work Agenda |
E87380
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | DWA |
E87380
|
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: DWA | Statement: [Decent Work Agenda, alsoKnownAs, DWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DWA Context triple: [Decent Work Agenda, alsoKnownAs, DWA]
-
A.
DWA
chosen
DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
-
B.
DWB
DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
-
C.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
D.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
E.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed38e2808190acbd0a7a3b677798 |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285c52808190b9cbb2e3e03a18cb |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.