Triple
T36871301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert's third problem |
E911228
|
entity |
| Predicate | hasAnswer |
P193752
|
FINISHED |
| Object | negative |
—
|
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: negative | Statement: [Hilbert's third problem, hasAnswer, negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnswer Context triple: [Hilbert's third problem, hasAnswer, negative]
-
A.
hasAnswerType
Indicates that a question or query is associated with a specific type or category of expected answer.
-
B.
hasAnswerEntriesIn
Indicates that an entity has one or more answer entries stored or recorded within a specified container, context, or collection.
-
C.
answeredBy
Indicates that a question, request, or problem is responded to or resolved by a particular entity.
-
D.
answerGivenAs
Indicates that a specific response or solution has been provided in reply to a particular question, request, or prompt.
-
E.
hasNumberOfPossibleAnswers
Indicates the quantity of distinct answers or response options that are possible for a given item, question, or situation.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 3, 2026, 4:13 p.m.