Triple
T17985916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mostar International Airport |
E430231
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | OMO |
—
|
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: OMO | Statement: [Mostar International Airport, IATAcode, OMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMO Context triple: [Mostar International Airport, IATAcode, OMO]
-
A.
OMO
chosen
OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
-
B.
OM
OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
-
C.
OM
OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
-
D.
OM
OM is the post-nominal abbreviation used by recipients of the Order of the Cross of Terra Mariana, a high state decoration of Estonia typically awarded to foreign dignitaries for services to the Estonian state.
-
E.
OM
OM was an Italian manufacturer known for producing vehicles such as the Milan series 1500 Peter Witt trams as well as trucks and other industrial transport equipment.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.