Triple
T28590003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khitan language |
E723614
|
entity |
| Predicate | deciphermentBasedOn |
P32642
|
FINISHED |
| Object | bilingual inscriptions with Chinese |
—
|
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: bilingual inscriptions with Chinese | Statement: [Khitan language, deciphermentBasedOn, bilingual inscriptions with Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciphermentBasedOn Context triple: [Khitan language, deciphermentBasedOn, bilingual inscriptions with Chinese]
-
A.
deciphermentDate
Indicates the date on which something (such as a text, code, or inscription) was successfully deciphered or decoded.
-
B.
deciphermentContributor
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
-
C.
decipheredFrom
chosen
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
-
D.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
-
E.
decipheredWithHelpOf
Indicates that something was successfully deciphered or interpreted through assistance provided by another entity or resource.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:19 a.m.