Triple
T29182088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Card |
E739769
|
entity |
| Predicate | costComparedToCartridge |
P166401
|
FINISHED |
| Object | cheaper to manufacture |
—
|
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: cheaper to manufacture | Statement: [Sega Card, costComparedToCartridge, cheaper to manufacture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costComparedToCartridge Context triple: [Sega Card, costComparedToCartridge, cheaper to manufacture]
-
A.
featuresCartouchesOf
Indicates that something (such as an artifact, monument, or object) bears or includes cartouches that contain the names or titles of specific individuals or entities.
-
B.
cartridge
Indicates that one entity is a cartridge associated with, contained in, or used by another entity.
-
C.
cartridgeColor
Indicates that one entity is the color attribute associated with a particular cartridge.
-
D.
requiresCartridgeSlotOf
Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
-
E.
hasCartridgesOrPods
Indicates that an entity possesses or is associated with cartridges or pods used for its operation or function.
- F. None of above. chosen
Provenance (4 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66384473c81909fb9ff9037f56b67 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 11:58 a.m.