Triple
T5260450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raguel |
E118809
|
entity |
| Predicate | numberInArchangelsList |
P62587
|
FINISHED |
| Object | five |
—
|
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: five | Statement: [Raguel, numberInArchangelsList, five]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInArchangelsList Context triple: [Raguel, numberInArchangelsList, five]
-
A.
associatedWithArchangelName
Indicates that something has a connection or linkage to a specific archangel’s name.
-
B.
revelationAngel
Indicates that an angel is the one who delivers or mediates a divine revelation to someone or about something.
-
C.
hasNumberOfSephirot
Indicates the specific count of sephirot associated with or attributed to an entity.
-
D.
numberOfAnathemas
Indicates the quantity of anathemas (formal curses or condemnations) associated with a given entity or context.
-
E.
numberInBiblicalText
Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcf026c8190881b6e14b962a3c9 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7bcabe58819096255672664513b1 |
completed | March 20, 2026, 4:54 p.m. |
Created at: March 20, 2026, 1:50 p.m.