Triple
T8611579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Robot Olympiad |
E203924
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | WRO |
E203924
|
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: WRO | Statement: [World Robot Olympiad, abbreviation, WRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WRO Context triple: [World Robot Olympiad, abbreviation, WRO]
-
A.
WRO
WRO is the IATA airport code for Copernicus Airport Wrocław, the main international airport serving the city of Wrocław in southwestern Poland.
-
B.
World Robot Olympiad
chosen
The World Robot Olympiad is an international robotics competition for young people that challenges teams to design, build, and program robots to solve themed tasks.
-
C.
FLL
FLL is the IATA airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the South Florida region.
-
D.
FIRST Tech Challenge
FIRST Tech Challenge is an international robotics competition for middle and high school students that challenges teams to design, build, and program robots to compete in themed engineering games.
-
E.
WPRO
WPRO is the World Health Organization’s Regional Office responsible for coordinating public health efforts across the Western Pacific region.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46fc31e08190aab5ab8f92f3315c |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea91456a88190a7416b0f1a0327d6 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.