Triple
T11003228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long-term Recurrent Convolutional Networks for Visual Recognition and Description |
E260050
|
entity |
| Predicate | languageOutput |
P18295
|
FINISHED |
| Object | natural language sentences |
—
|
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: natural language sentences | Statement: [Long-term Recurrent Convolutional Networks for Visual Recognition and Description, languageOutput, natural language sentences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOutput Context triple: [Long-term Recurrent Convolutional Networks for Visual Recognition and Description, languageOutput, natural language sentences]
-
A.
languageOutcome
Indicates the resulting language or linguistic state that emerges from a given process, action, or interaction.
-
B.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
C.
languageModality
Indicates the mode or form in which a language is expressed or perceived (e.g., spoken, signed, written, or tactile).
-
D.
languageSpecifies
Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
-
E.
languageOfPrimaryOutput
chosen
Indicates the language in which the primary output or main result of an entity (such as a work, process, or system) is expressed.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.