Triple
T847929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ei Compendex |
E18317
|
entity |
| Predicate | indexesContentType |
P14247
|
FINISHED |
| Object | journal articles |
—
|
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: journal articles | Statement: [Ei Compendex, indexesContentType, journal articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indexesContentType Context triple: [Ei Compendex, indexesContentType, journal articles]
-
A.
indexStructure
chosen
Indicates that one entity serves as an index or organizational framework that structures, arranges, or provides access to another entity or set of entities.
-
B.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
C.
hasContentType
Indicates that an entity is associated with or classified by a specific type of content.
-
D.
broadcastsContentType
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
-
E.
GCContent
Indicates the proportion of guanine (G) and cytosine (C) bases relative to the total nucleotide content in a DNA or RNA sequence.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac1e41748190a21cd1ce5ebcb8ff |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.