Triple
T17548891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marka International Airport |
E427401
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | OJAM |
—
|
NE NERFINISHED |
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: OJAM | Statement: [Marka International Airport, ICAOcode, OJAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OJAM Context triple: [Marka International Airport, ICAOcode, OJAM]
-
A.
OJAM
chosen
OJAM is the ICAO airport code for Amman Civil Airport, a domestic and regional airport serving Amman, Jordan.
-
B.
OJ
OJ is the post-nominal abbreviation used to denote membership in the Order of Jamaica, one of the country’s highest national honours.
-
C.
OJ
OJ is a track featured on Lil Durk’s mixtape series "Signed to the Streets."
-
D.
OASAM
OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
-
E.
OJ da Juiceman
OJ da Juiceman is an American rapper from Atlanta known for his trap-influenced style and collaborations with artists from the Southern hip hop scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.