Triple
T30746639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitáb-i-‘Ahd |
E782832
|
entity |
| Predicate | designatesInterpreter |
P194255
|
FINISHED |
| Object | ʻAbdu'l-Bahá |
—
|
NE NERFINISHED |
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: ʻAbdu'l-Bahá | Statement: [Kitáb-i-‘Ahd, designatesInterpreter, ʻAbdu'l-Bahá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatesInterpreter Context triple: [Kitáb-i-‘Ahd, designatesInterpreter, ʻAbdu'l-Bahá]
-
A.
interpreter
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
-
B.
isInterpretedBy
Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
-
C.
useOfInterpreters
Indicates that interpreters are employed to facilitate communication between parties who do not share a common language or communication mode.
-
D.
hasInterpreterProfession
Indicates that an entity works in the professional role or occupation of an interpreter.
-
E.
defaultInterpreterWrittenIn
Indicates that the default interpreter or runtime environment for a given system, language, or program is implemented using a specified programming language.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
| PDg | Predicate description generation | batch_69fd68ab21a0819096bfc4a8c14851ad |
completed | May 8, 2026, 4:38 a.m. |
Created at: April 29, 2026, 8:38 p.m.