Triple
T7694547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symbols of Transformation |
E174336
|
entity |
| Predicate | volumeNumberInSeries |
P5040
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Symbols of Transformation, volumeNumberInSeries, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeNumberInSeries Context triple: [Symbols of Transformation, volumeNumberInSeries, 5]
-
A.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
C.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
-
D.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
E.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.