Triple
T9504336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulekites |
E229223
|
entity |
| Predicate | chronologicalRelationToNephites |
P10630
|
FINISHED |
| Object | contemporary with later Nephites |
—
|
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: contemporary with later Nephites | Statement: [Mulekites, chronologicalRelationToNephites, contemporary with later Nephites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalRelationToNephites Context triple: [Mulekites, chronologicalRelationToNephites, contemporary with later Nephites]
-
A.
chronologicalPosition
chosen
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
chronologyPrecedes
Indicates that one event or state occurs earlier in time than another in a chronological sequence.
-
C.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
-
D.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
E.
chronologicalFunction
Indicates a temporal relationship where one event or state functions to order, structure, or position another within a sequence of time.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9840148081908df237f212b62e67 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.