Triple
T37836748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four-source hypothesis |
E943357
|
entity |
| Predicate | proposesNumberOfSources |
P189260
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Four-source hypothesis, proposesNumberOfSources, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesNumberOfSources Context triple: [Four-source hypothesis, proposesNumberOfSources, 4]
-
A.
numberOfPointSources
Indicates the total count of distinct point sources involved or present in a given context or system.
-
B.
proposesNumberOfTypes
Indicates that an entity asserts or suggests a specific quantity of distinct types or categories within a given context.
-
C.
numberOfRecommendations
Indicates the quantity of recommendations associated with or given to a particular entity or item.
-
D.
requiresSources
Indicates that something must be supported, justified, or validated by one or more external sources.
-
E.
hasNumberInSomeSources
Indicates that certain sources report or associate a particular number with the given entity or relation.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.