Triple
T805117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex |
E17412
|
entity |
| Predicate | inputFormat |
P130
|
FINISHED |
| Object | natural language prompts |
—
|
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 prompts | Statement: [Codex, inputFormat, natural language prompts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputFormat Context triple: [Codex, inputFormat, natural language prompts]
-
A.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
B.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
canImportFormat
Indicates that an entity has the capability to import or read data in a specified format.
-
E.
formatBefore
Indicates that one item’s format or formatting must occur or be applied prior to another item’s format or formatting.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
Created at: March 1, 2026, 7:38 p.m.