Triple
T16389572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Lost Tribes of Israel |
E398013
|
entity |
| Predicate | statusInReligion |
P110049
|
FINISHED |
| Object | enduring religious motif |
—
|
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: enduring religious motif | Statement: [Ten Lost Tribes of Israel, statusInReligion, enduring religious motif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInReligion Context triple: [Ten Lost Tribes of Israel, statusInReligion, enduring religious motif]
-
A.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
-
B.
statusInChristianity
Indicates the recognized role, standing, or significance that something or someone holds within Christian belief, practice, or tradition.
-
C.
roleInStateReligion
Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
-
D.
positionOnStateReligion
Indicates a stance or viewpoint regarding the role, status, or legitimacy of an official state religion.
-
E.
relationshipToReligion
chosen
Indicates the nature or type of connection an entity has to a religion, such as affiliation, stance, or involvement.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.