Triple
T6089944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meroitic script |
E135735
|
entity |
| Predicate | deciphermentDifficultyReason |
P68051
|
FINISHED |
| Object | lack of bilingual 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: lack of bilingual inscriptions | Statement: [Meroitic script, deciphermentDifficultyReason, lack of bilingual inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciphermentDifficultyReason Context triple: [Meroitic script, deciphermentDifficultyReason, lack of bilingual inscriptions]
-
A.
deciphermentContributor
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
-
B.
degreeOfDecipherment
Indicates the extent to which something (such as a text, code, or script) has been successfully deciphered or made intelligible.
-
C.
deciphermentStatus
Indicates the degree to which something (such as a text, code, or inscription) has been successfully decoded or interpreted.
-
D.
deciphermentDate
Indicates the date on which something (such as a text, code, or inscription) was successfully deciphered or decoded.
-
E.
isUndeciphered
Indicates that something has not yet been successfully interpreted, decoded, or understood in terms of its meaning or structure.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a862c88190912a913973c6b6fc |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.