Triple
T18648781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasting Time |
E455876
|
entity |
| Predicate | followsInDiscography |
P25312
|
FINISHED |
| Object | Bawitdaba |
—
|
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: Bawitdaba | Statement: [Wasting Time, followsInDiscography, Bawitdaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bawitdaba Context triple: [Wasting Time, followsInDiscography, Bawitdaba]
-
A.
Bawitdaba
chosen
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
-
B.
Itawit-Tawit
Itawit-Tawit is an Austronesian language spoken by the Itawit people of northern Luzon in the Philippines.
-
C.
Mambajao
Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
-
D.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
E.
Nabawan
Nabawan is a rural town and district in the interior of Sabah, Malaysia, known for its indigenous communities and agricultural activities.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500fd7cc819095c5e742013b8d75 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.