Triple
T36491389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickr8k |
E899058
|
entity |
| Predicate | hasEvaluationMetrics |
P66029
|
FINISHED |
| Object | BLEU |
—
|
NE NERFINISHED |
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: BLEU | Statement: [Flickr8k, hasEvaluationMetrics, BLEU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEvaluationMetrics Context triple: [Flickr8k, hasEvaluationMetrics, BLEU]
-
A.
hasEvaluation
Indicates that an entity has been assessed or judged according to some criteria, linking it to the corresponding evaluation result or record.
-
B.
hasEvaluationType
Indicates that an entity is associated with a specific kind or category of evaluation applied to it.
-
C.
hasEfficiencyMetric
Indicates that an entity is associated with a specific measure or metric used to evaluate its efficiency.
-
D.
evaluationModel
Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
-
E.
hasNotableMetric
chosen
Indicates that an entity is associated with a specific metric or measurement that is considered significant or noteworthy in its 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_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.