Triple
T8993109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmo shogi engine |
E214836
|
entity |
| Predicate | roleInAlphaZeroPaper |
P86207
|
FINISHED |
| Object | baseline opponent in shogi experiments |
—
|
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: baseline opponent in shogi experiments | Statement: [Elmo shogi engine, roleInAlphaZeroPaper, baseline opponent in shogi experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAlphaZeroPaper Context triple: [Elmo shogi engine, roleInAlphaZeroPaper, baseline opponent in shogi experiments]
-
A.
roleInEndgame
Indicates that an entity has a specific function, position, or responsibility within the final or concluding phase of an event, process, or scenario.
-
B.
roleInAlexNet
Indicates that an entity has a specific role or function within the AlexNet neural network architecture.
-
C.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
D.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
E.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6876583081909d936dc3c3152587 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.