Triple
T13410511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugaku |
E320072
|
entity |
| Predicate | preProductionUseStart |
P109803
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Fugaku, preProductionUseStart, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preProductionUseStart Context triple: [Fugaku, preProductionUseStart, 2020]
-
A.
fromProduction
Indicates that something originates from, is derived from, or is produced by a particular production process, source, or facility.
-
B.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
C.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
-
D.
startUseBy
Indicates the point in time from which an entity begins to be used by another entity or for a particular purpose.
-
E.
preparationBegan
Indicates that the initial actions or processes required for something to be carried out or occur have started.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:35 p.m.