Triple
T8694802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth Simulator |
E206380
|
entity |
| Predicate | top500List |
P84235
|
FINISHED |
| Object | June 2002 |
—
|
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: June 2002 | Statement: [Earth Simulator, top500List, June 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: top500List Context triple: [Earth Simulator, top500List, June 2002]
-
A.
usedComputerRankings
Indicates that the selection or decision was based on rankings generated by a computer system.
-
B.
hasSupercomputer
Indicates that an entity possesses, controls, or is equipped with a supercomputer.
-
C.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
D.
computingModel
Indicates the computational framework, paradigm, or formal system used to perform or describe a computation.
-
E.
isTechnologicalHubOf
Indicates that a location serves as a central focal point for technological activity, development, or innovation for another specified area or community.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58284c58819091beb05a7d6b3a1b |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc483f06f48190879f4702c8b4ed00 |
completed | March 31, 2026, 10:18 p.m. |
Created at: March 30, 2026, 6:33 p.m.