Triple
T27734067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashtable |
E697490
|
entity |
| Predicate | nullValueSupport |
P163141
|
FINISHED |
| Object | allows null values |
—
|
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: allows null values | Statement: [Hashtable, nullValueSupport, allows null values]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nullValueSupport Context triple: [Hashtable, nullValueSupport, allows null values]
-
A.
emptyValueMeaning
Indicates that a value is intentionally left empty to convey a specific, meaningful state rather than simply missing data.
-
B.
hasNullSet
Indicates that an entity is associated with, contains, or is characterized by an empty or null set of elements.
-
C.
hasNullHypothesis
Indicates that an entity is associated with, or defined in terms of, a specific null hypothesis in a statistical or experimental context.
-
D.
supportsValue
Indicates that one entity provides justification, evidence, or backing for the truth, relevance, or appropriateness of a particular value associated with another entity.
-
E.
blankAndNullVotes
Indicates that the relationship concerns votes that are either left blank or explicitly marked as null/invalid in an election or voting process.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369fa1d88190ac40370ec4fa185e |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:12 p.m.