Triple
T29182090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Card |
E739769
|
entity |
| Predicate | successorMedium |
P195634
|
FINISHED |
| Object | Sega Master System ROM cartridge |
—
|
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: Sega Master System ROM cartridge | Statement: [Sega Card, successorMedium, Sega Master System ROM cartridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorMedium Context triple: [Sega Card, successorMedium, Sega Master System ROM cartridge]
-
A.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
B.
successorSeries
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
-
C.
successorCategory
Indicates that one category directly follows or replaces another in an ordered sequence or hierarchy.
-
D.
successorImprint
Indicates that one imprint or edition directly follows and replaces another in a publication sequence.
-
E.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
- 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_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_69fddd364c1481908794c9d423bdc2d7 |
completed | May 8, 2026, 12:55 p.m. |
Created at: April 28, 2026, 11:58 a.m.