Triple
T4761924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call of Abraham |
E105715
|
entity |
| Predicate | associatedFigure |
P1183
|
FINISHED |
| Object | Terah |
E266092
|
NE 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: Terah | Statement: [Call of Abraham, associatedFigure, Terah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terah Context triple: [Call of Abraham, associatedFigure, Terah]
-
A.
Terah
chosen
Terah is a biblical patriarch known as the father of Abraham and a descendant of Shem who lived in Mesopotamia.
-
B.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
C.
Teron
Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
-
D.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
E.
Terik
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a81c9dc8190b9e7f399ac1de268 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.