Triple
T9187723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scala MM400 |
E220499
|
entity |
| Predicate | series |
P1761
|
FINISHED |
| Object | Scala MM series |
E220499
|
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: Scala MM series | Statement: [Scala MM400, series, Scala MM series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scala MM series Context triple: [Scala MM400, series, Scala MM series]
-
A.
Scala MM400
chosen
Scala MM400 is a multimedia authoring and presentation software package for the Amiga platform, widely used for creating interactive graphics, video titling, and information displays.
-
B.
Scala Center
Scala Center is a non-profit organization at EPFL dedicated to the stewardship, education, and open-source development of the Scala programming language and its ecosystem.
-
C.
Scala
Scala is a historic hilltop town on Italy’s Amalfi Coast, known for its medieval architecture, terraced landscapes, and panoramic views over the surrounding coastline.
-
D.
Scala
Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
-
E.
Snowpark for Scala
Snowpark for Scala is a developer framework that lets Scala users build and run data pipelines and applications directly in Snowflake using familiar Scala APIs.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c226bc881909609da0bfbd4748e |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.