Triple
T699970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Mail |
E13976
|
entity |
| Predicate | eligibleContents |
P12413
|
FINISHED |
| Object | books |
—
|
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: books | Statement: [Media Mail, eligibleContents, books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleContents Context triple: [Media Mail, eligibleContents, books]
-
A.
GCContent
Indicates the proportion of guanine (G) and cytosine (C) bases relative to the total nucleotide content in a DNA or RNA sequence.
-
B.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
eligibleBody
Indicates that an entity qualifies as an appropriate or permitted body (e.g., organization or institution) to participate in or be subject to a specified relationship or action.
-
D.
eligibleWorks
chosen
Indicates that certain works meet the required criteria or conditions to qualify for a specified status, use, or consideration.
-
E.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.