Triple
T4410272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringworld |
E94835
|
entity |
| Predicate | shadowSquaresFunction |
P51692
|
FINISHED |
| Object | simulate day-night cycle |
—
|
LITERAL 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: simulate day-night cycle | Statement: [Ringworld, shadowSquaresFunction, simulate day-night cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shadowSquaresFunction Context triple: [Ringworld, shadowSquaresFunction, simulate day-night cycle]
-
A.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
B.
hasNearbySquare
Indicates that one entity has at least one square-shaped entity located close to it in space.
-
C.
mainSquare
Indicates that a location serves as the primary or central public square of a town or city.
-
D.
shaded
chosen
Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
-
E.
shamashFunction
Indicates the role, duties, or functions performed by Shamash in a given context.
- F. None of above.
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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.