Triple
T25930059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wythoff Nim |
E653413
|
entity |
| Predicate | hasOriginalPaperTitle |
P168550
|
FINISHED |
| Object | A modification of the game of Nim |
—
|
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: A modification of the game of Nim | Statement: [Wythoff Nim, hasOriginalPaperTitle, A modification of the game of Nim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPaperTitle Context triple: [Wythoff Nim, hasOriginalPaperTitle, A modification of the game of Nim]
-
A.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
B.
hasOriginalTitleScript
Indicates that an entity’s original title is written or represented in a specific writing system or script.
-
C.
hasOriginalTitleMeaning
Indicates that an entity’s original title conveys or is associated with a particular meaning or interpretation.
-
D.
hasOriginalCountryTitle
Indicates that an entity is associated with the title it originally had in its country of origin.
-
E.
fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 22, 2026, 8:36 a.m.