Triple
T27431547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoshenq I |
E690651
|
entity |
| Predicate | motherTongueHypothesis |
P89667
|
FINISHED |
| Object | Libyan language (likely) |
—
|
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: Libyan language (likely) | Statement: [Shoshenq I, motherTongueHypothesis, Libyan language (likely)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherTongueHypothesis Context triple: [Shoshenq I, motherTongueHypothesis, Libyan language (likely)]
-
A.
languageHypothesis
chosen
Indicates a proposed or inferred relationship concerning the language used, such as a conjecture about which language applies or how language is involved in a given context.
-
B.
motherTongueRegion
Indicates the geographic region where an entity’s native or primary language is predominantly spoken or originates.
-
C.
languageFamilyHypotheses
Indicates proposed or theorized genealogical relationships among languages, grouping them into potential common families or macro-families.
-
D.
originalLanguageHypothesis
Indicates a proposed or inferred original language in which a work, text, or expression was first created or formulated.
-
E.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:42 p.m.