Triple
T36491436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickr30k |
E899059
|
entity |
| Predicate | isUsedToEvaluate |
P77543
|
FINISHED |
| Object | caption quality |
—
|
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: caption quality | Statement: [Flickr30k, isUsedToEvaluate, caption quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedToEvaluate Context triple: [Flickr30k, isUsedToEvaluate, caption quality]
-
A.
isUsedToCompute
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
-
B.
evaluationUse
chosen
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
C.
isUsedToTest
Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
-
D.
hasEvaluation
Indicates that an entity has been assessed or judged according to some criteria, linking it to the corresponding evaluation result or record.
-
E.
assessesForUseIn
Indicates that one entity evaluates another entity to determine its suitability or appropriateness for a particular use or application.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.