Triple
T64767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Italic script |
E1287
|
entity |
| Predicate | writingMedium |
P131
|
FINISHED |
| Object | stone inscriptions |
—
|
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: stone inscriptions | Statement: [Old Italic script, writingMedium, stone inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingMedium Context triple: [Old Italic script, writingMedium, stone inscriptions]
-
A.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
B.
rite
Indicates a ceremonial or ritual action performed according to established traditions or religious practices.
-
C.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
D.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
E.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.