Triple
T935312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Plagues of Egypt |
E20181
|
entity |
| Predicate | sequenceOrder |
P15216
|
FINISHED |
| Object | Water turned to blood is first plague |
—
|
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: Water turned to blood is first plague | Statement: [Ten Plagues of Egypt, sequenceOrder, Water turned to blood is first plague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceOrder Context triple: [Ten Plagues of Egypt, sequenceOrder, Water turned to blood is first plague]
-
A.
subsequentOrder
Indicates that one order occurs after or follows another order in sequence.
-
B.
establishedInOrder
Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
-
C.
selectionOrderAdjustment
Indicates a modification to the original order in which items or options were selected, such as reordering or adjusting their selection sequence.
-
D.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
-
E.
componentOrder
chosen
Indicates the relative sequence or arrangement of components within a larger structure or system.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.