Triple
T4525303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicles: Volume Two |
E103362
|
entity |
| Predicate | workSeriesPosition |
P6115
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Chronicles: Volume Two, workSeriesPosition, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSeriesPosition Context triple: [Chronicles: Volume Two, workSeriesPosition, 2]
-
A.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
B.
workChronologyPosition
Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
-
C.
placeInSeries
chosen
Indicates the position or order that something occupies within a sequence or series.
-
D.
firstWorkInSeries
Indicates that a work is the initial installment or opening entry in a series or sequence of related works.
-
E.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.