Triple
T15857444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dipartimento dell’Amministrazione Generale, del Personale e dei Servizi |
E384495
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DAG |
E95133
|
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: DAG | Statement: [Dipartimento dell’Amministrazione Generale, del Personale e dei Servizi, abbreviation, DAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAG Context triple: [Dipartimento dell’Amministrazione Generale, del Personale e dei Servizi, abbreviation, DAG]
-
A.
DAG
chosen
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
-
B.
DGL
DGL is the National Rail station code for Dingle Road railway station in Penarth, Wales.
-
C.
DGL
DGL is the vehicle registration code assigned to the town of Głogów in Poland.
-
D.
DSA
DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
-
E.
DSA
DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555808688190882b610109d1e5f4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.