Triple
T15688554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logo |
E380264
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | StarLogo |
E718652
|
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: StarLogo | Statement: [Logo, influenced, StarLogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: StarLogo Context triple: [Logo, influenced, StarLogo]
-
A.
StarLogo
chosen
StarLogo is an educational, agent-based programming environment designed to help users explore and simulate complex systems, particularly in science and mathematics learning contexts.
-
B.
MSWLogo
MSWLogo is a free, Windows-based implementation of the Logo programming language designed primarily for educational use and teaching programming concepts to beginners.
-
C.
Terrapin Park
Terrapin Park was a historic baseball stadium in Baltimore, Maryland, best known as the home field of the short-lived Federal League’s Baltimore Terrapins in the mid-1910s.
-
D.
Snap!
Snap! is a German Eurodance group best known for early 1990s hits like "The Power" and "Rhythm Is a Dancer."
-
E.
Turtle Geometry
Turtle Geometry is a mathematical approach and educational book that explores geometry through the movement of a "turtle" cursor, pioneering ideas in computational thinking and Logo-based learning.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee91340819086c8f51e8eb477aa |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.