Triple
T20107340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barking at Airplanes |
E490216
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Abadabadango |
—
|
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: Abadabadango | Statement: [Barking at Airplanes, hasPart, Abadabadango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abadabadango Context triple: [Barking at Airplanes, hasPart, Abadabadango]
-
A.
Abadabadango
chosen
Abadabadango is a song featured on the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
-
B.
Abudwak
Abudwak is a town in central Somalia that serves as an important local hub within the Galguduud region.
-
C.
Kawkaban
Kawkaban is a historic fortified mountain town in Yemen renowned for its strategic clifftop location and traditional architecture.
-
D.
Wallabadah
Wallabadah is a small rural village in New South Wales, Australia, known for its historic First Fleet Memorial Gardens and agricultural surroundings.
-
E.
Abasár
Abasár is a village in northern Hungary known for its wine production and location near the Mátra Mountains.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.