Triple
T8600053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysimachus |
E203650
|
entity |
| Predicate | asksQuestionAbout |
P76858
|
FINISHED |
| Object | whether his sons should learn fighting in armor |
—
|
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: whether his sons should learn fighting in armor | Statement: [Lysimachus, asksQuestionAbout, whether his sons should learn fighting in armor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asksQuestionAbout Context triple: [Lysimachus, asksQuestionAbout, whether his sons should learn fighting in armor]
-
A.
questionAsksWhether
chosen
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
-
B.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
C.
questionConveyedBy
Indicates that a particular question is expressed, communicated, or represented by a given medium, message, or artifact.
-
D.
askedAboutBy
Indicates that one entity is the subject of a question or inquiry made by another entity.
-
E.
guidingQuestionOf
Indicates that one item serves as a guiding or central question that frames, directs, or structures another item (such as a discussion, activity, or work).
- F. None of above.
Provenance (3 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46d7c184819083236c75f9ccc9cf |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:24 p.m.