Triple
T1520134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Refugee Board |
E32207
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object | WRB |
E32207
|
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: WRB | Statement: [War Refugee Board, hasAcronym, WRB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WRB Context triple: [War Refugee Board, hasAcronym, WRB]
-
A.
WRB
chosen
WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
-
B.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
C.
BW
BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
-
D.
WRAN
WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
-
E.
WR
WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907eeca38819096d5696922449638 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308f99d8819095c2ed404d4170b3 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.