Triple
T21641424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet Elijah (late in Elijah’s ministry) |
E534095
|
entity |
| Predicate | crossedJordanBy |
P18327
|
FINISHED |
| Object | striking the water with his cloak |
—
|
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: striking the water with his cloak | Statement: [Prophet Elijah (late in Elijah’s ministry), crossedJordanBy, striking the water with his cloak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossedJordanBy Context triple: [Prophet Elijah (late in Elijah’s ministry), crossedJordanBy, striking the water with his cloak]
-
A.
crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
B.
crossedWith
chosen
Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
-
C.
crossedFrom
Indicates that an entity moved across a boundary or dividing line starting from a specified origin location or side.
-
D.
crossedWithHelpOf
Indicates that one entity moved across or through something with assistance provided by another entity or means.
-
E.
crossedByRiver
Indicates that a river passes across or through a specified area, feature, or route.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef53917f3c81909e7f4074beecefd3 |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.