Triple
T1187226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab League Broadcasting Union |
E25273
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ASBU |
E134834
|
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: ASBU | Statement: [Arab League Broadcasting Union, hasAbbreviation, ASBU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASBU Context triple: [Arab League Broadcasting Union, hasAbbreviation, ASBU]
-
A.
ASBU
chosen
ASBU is the commonly used abbreviation for the Arab States Broadcasting Union, a professional organization that coordinates and supports radio and television broadcasters across the Arab world.
-
B.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
C.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
D.
AOUSC
AOUSC is the central administrative agency that provides support, policy guidance, and management services to the federal judiciary of the United States.
-
E.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd5578b08190bbe4089857fbf166 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac764a5f508190a54c8f01cf0b0d11 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.