Triple
T28742595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteosat Third Generation |
E731283
|
entity |
| Predicate | plannedMTG-SCount |
P176311
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Meteosat Third Generation, plannedMTG-SCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedMTG-SCount Context triple: [Meteosat Third Generation, plannedMTG-SCount, 2]
-
A.
plannedMTG-ICount
Indicates that there is a recorded count of planned meetings associated with the given entities.
-
B.
hasExpansionSetNumber
Indicates that an entity is associated with a specific numbered position or identifier within an expansion set.
-
C.
numberOfBoosters
Indicates the quantity of booster units associated with or used by an entity.
-
D.
hasFoilOrParallel
Indicates that one item is a foil or parallel version of another, typically differing only in special variant features while representing the same underlying entity.
-
E.
iconicTCGCard
Indicates that a trading card game (TCG) card is widely recognized as emblematic or highly representative of its game or format.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 28, 2026, 6:03 a.m.