Triple
T12195334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammit |
E290571
|
entity |
| Predicate | judgmentContext |
P104254
|
FINISHED |
| Object | weighing of the heart against the feather of Ma’at |
—
|
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: weighing of the heart against the feather of Ma’at | Statement: [Ammit, judgmentContext, weighing of the heart against the feather of Ma’at]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgmentContext Context triple: [Ammit, judgmentContext, weighing of the heart against the feather of Ma’at]
-
A.
judgmentInvolves
Indicates that a particular judgment, decision, or legal ruling includes, concerns, or pertains to a specified entity or matter.
-
B.
containsJudgmentIn
Indicates that one entity includes or embeds a specific judgment or decision within it.
-
C.
interpretsJudgmentAs
Indicates that one entity understands, construes, or explains a given judgment in a particular way or according to a specific meaning.
-
D.
judgeFrom
Indicates that one entity forms an opinion, evaluation, or conclusion about something based on another specified source, basis, or perspective.
-
E.
judgmentMessage
Indicates that a message expresses an evaluation, opinion, or decision about a subject or situation.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.