Triple
T9231395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamanites |
E221823
|
entity |
| Predicate | languageSharedWith |
P33593
|
FINISHED |
| Object | Nephites (at various times) |
—
|
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: Nephites (at various times) | Statement: [Lamanites, languageSharedWith, Nephites (at various times)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageSharedWith Context triple: [Lamanites, languageSharedWith, Nephites (at various times)]
-
A.
sharesLanguageWith
chosen
Indicates that two entities use at least one common language for communication.
-
B.
officialLanguageStatusSharedWith
Indicates that two entities share at least one official language in common.
-
C.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
D.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
E.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee190204819096b38270a0abc116 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.