Triple
T33054355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenician letter heth |
E845808
|
entity |
| Predicate | standardTranscriptionSystem |
P154641
|
FINISHED |
| Object | Semitic epigraphy conventions |
—
|
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: Semitic epigraphy conventions | Statement: [Phoenician letter heth, standardTranscriptionSystem, Semitic epigraphy conventions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardTranscriptionSystem Context triple: [Phoenician letter heth, standardTranscriptionSystem, Semitic epigraphy conventions]
-
A.
isTranscriptionSystem
chosen
Indicates that one entity functions as a system or method for transcribing the language, script, or symbols of another entity.
-
B.
alsoTranscribes
Indicates that an entity, in addition to its primary transcription role, transcribes another specified entity as well.
-
C.
isTranscriptionOf
Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
-
D.
transcription
Indicates the process by which genetic information in DNA is copied into RNA by RNA polymerase.
-
E.
scriptTranscribedFrom
Indicates that a written script is a transcription derived from another source, such as audio, video, or a different script.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:25 a.m.