Triple
T4246984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slint |
E95552
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Bastro |
E362338
|
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: Bastro | Statement: [Slint, associatedAct, Bastro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bastro Context triple: [Slint, associatedAct, Bastro]
-
A.
Bastro
chosen
Bastro is an American post-hardcore and math rock band known for its complex song structures and as a precursor to the experimental rock group Gastr del Sol.
-
B.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
E.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87c033881908e0cf9fdfecaf36a |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:05 p.m.