Triple
T1007464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Representative Council |
E21745
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DPD RI |
E118158
|
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: DPD RI | Statement: [Regional Representative Council, abbreviation, DPD RI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DPD RI Context triple: [Regional Representative Council, abbreviation, DPD RI]
-
A.
DPD
chosen
DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
-
B.
DPD
DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
-
C.
DHL
DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
-
D.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
E.
UP Express
UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7570b388190ada9693935792a58 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba9406c81909a13375fea05ee99 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.