Triple
T19693340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception v4 |
E472889
|
entity |
| Predicate | networkDepth |
P136947
|
FINISHED |
| Object | very deep |
—
|
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: very deep | Statement: [Inception v4, networkDepth, very deep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkDepth Context triple: [Inception v4, networkDepth, very deep]
-
A.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
B.
networkLengthContext
Indicates the contextual conditions or parameters under which a network’s length is defined, measured, or interpreted.
-
C.
networkLevel
Indicates the hierarchical position or tier an entity occupies within a network structure.
-
D.
networkNumberSize
Indicates the size or magnitude associated with a network’s identifying number or address range.
-
E.
searchDepth
Indicates the extent or level to which a search process explores through layers, steps, or hierarchy within a structure or space.
- F. None of above. chosen
Provenance (4 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.