Triple
T32654528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torah ark |
E834824
|
entity |
| Predicate | termInEnglish |
P56045
|
FINISHED |
| Object | holy ark |
—
|
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: holy ark | Statement: [Torah ark, termInEnglish, holy ark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termInEnglish Context triple: [Torah ark, termInEnglish, holy ark]
-
A.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
B.
termLanguage
Indicates the language in which a given term is expressed or defined.
-
C.
typicalTerm
chosen
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
D.
terminologyOf
Indicates that one entity provides or defines the specialized terms or vocabulary used within the context of another entity.
-
E.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: May 1, 2026, 1:08 a.m.