Triple
T5604280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Biathlon Union |
E147193
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | IBU |
E533836
|
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: IBU | Statement: [International Biathlon Union, hasAbbreviation, IBU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBU Context triple: [International Biathlon Union, hasAbbreviation, IBU]
-
A.
IBU
chosen
IBU is the commonly used abbreviation for the International Biathlon Union, the global governing body for the sport of biathlon.
-
B.
IBU
IBU is the acronym commonly used for the Islamic Broadcasting Union, an organization that coordinates and promotes cooperation among broadcasters in the Islamic world.
-
C.
ABV
ABV is the IATA airport code for Nnamdi Azikiwe International Airport serving Abuja, the capital city of Nigeria.
-
D.
IBTA
IBTA is an industry consortium that develops and promotes the InfiniBand architecture and related high-speed interconnect standards.
-
E.
iBBA
The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020f9408481908cf006074c726301 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d40049881908bf32e4932094c52 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:39 p.m.