Triple
T3884544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can one hear the shape of a drum? |
E92906
|
entity |
| Predicate | titleQuestion |
P38
|
FINISHED |
| Object | Can one hear the shape of a drum? |
—
|
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: Can one hear the shape of a drum? | Statement: [Can one hear the shape of a drum?, titleQuestion, Can one hear the shape of a drum?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleQuestion Context triple: [Can one hear the shape of a drum?, titleQuestion, Can one hear the shape of a drum?]
-
A.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
B.
title
chosen
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
D.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
E.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec9029908190a7b36a3827734db1 |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.