Triple
T29466263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thamudic |
E747386
|
entity |
| Predicate | scriptDerivation |
P177150
|
FINISHED |
| Object | derived from Proto-Sinaitic script (indirectly) |
—
|
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: derived from Proto-Sinaitic script (indirectly) | Statement: [Thamudic, scriptDerivation, derived from Proto-Sinaitic script (indirectly)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptDerivation Context triple: [Thamudic, scriptDerivation, derived from Proto-Sinaitic script (indirectly)]
-
A.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
B.
scriptSource
Indicates that one entity is the origin or provider of the script used or referenced by another entity.
-
C.
scriptType
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
D.
scriptRepresentation
Indicates the specific written or encoded form in which something (such as language, data, or content) is expressed or represented.
-
E.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 28, 2026, 3:53 p.m.