Triple
T18293214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Series G |
E438166
|
entity |
| Predicate | includesSubseries |
P35499
|
FINISHED |
| Object | G.100–G.199 |
—
|
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: G.100–G.199 | Statement: [Series G, includesSubseries, G.100–G.199]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSubseries Context triple: [Series G, includesSubseries, G.100–G.199]
-
A.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
B.
hasSubSeries
chosen
Indicates that one series is a subordinate or component series within a larger parent series.
-
C.
includesSuborder
Indicates that one entity contains or encompasses another entity as a subordinate order within its hierarchical structure.
-
D.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
E.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50100d6488190bbe73668df9c4046 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.