Triple
T13363582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerusalem Chronicle |
E318879
|
entity |
| Predicate | chronicleSeries |
P41120
|
FINISHED |
| Object | Babylonian historical chronicles |
—
|
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: Babylonian historical chronicles | Statement: [Jerusalem Chronicle, chronicleSeries, Babylonian historical chronicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronicleSeries Context triple: [Jerusalem Chronicle, chronicleSeries, Babylonian historical chronicles]
-
A.
chronicleScope
Indicates the temporal or contextual span over which an event, process, or narrative is recorded or documented.
-
B.
chronicledBy
chosen
Indicates that something is documented, recorded, or described in detail by a particular source, author, or record.
-
C.
chroniclesPeriodFrom
Indicates that something documents or records events starting from a specified point in time or historical period.
-
D.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
E.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.