Triple
T13378727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth-togarmah |
E319258
|
entity |
| Predicate | TogarmahMentionedIn |
P109685
|
FINISHED |
| Object | Genesis 10 |
—
|
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: Genesis 10 | Statement: [Beth-togarmah, TogarmahMentionedIn, Genesis 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TogarmahMentionedIn Context triple: [Beth-togarmah, TogarmahMentionedIn, Genesis 10]
-
A.
hasTamga
Indicates that an entity bears or is marked with a specific tamga (a distinctive emblem, brand, or clan/ownership mark).
-
B.
hasTorii
Indicates that something possesses or features a torii gate as part of its structure or environment.
-
C.
notableJaeger
Indicates that the subject is a Jaeger (or closely related entity) that is distinguished or prominent in some notable way, such as fame, importance, or exceptional performance.
-
D.
countryJaegerRepresents
Indicates that a specific Jaeger serves as the official representative or defender of a particular country.
-
E.
المنشأ
Indicates the origin or source from which an entity, action, or relationship arises or is derived.
- F. None of above. chosen
Provenance (4 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce56c6c8190adf4e19f6d1bc233 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:33 p.m.