Triple
T28712514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carian alphabet |
E729865
|
entity |
| Predicate | deciphermentContributedBy |
P53089
|
FINISHED |
| Object | Ignacio-Javier Adiego |
—
|
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: Ignacio-Javier Adiego | Statement: [Carian alphabet, deciphermentContributedBy, Ignacio-Javier Adiego]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciphermentContributedBy Context triple: [Carian alphabet, deciphermentContributedBy, Ignacio-Javier Adiego]
-
A.
deciphermentContributor
chosen
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
-
B.
deciphermentDate
Indicates the date on which something (such as a text, code, or inscription) was successfully deciphered or decoded.
-
C.
deciphermentYear
Indicates the year in which something (typically a script, code, or inscription) was successfully deciphered or interpreted.
-
D.
decipheredFrom
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
-
E.
deciphermentPeriod
Indicates the time span during which the decipherment of something (such as a script, code, or text) took place.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:48 a.m.