Triple
T1745676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hieroglyphic Luwian |
E38329
|
entity |
| Predicate | decipheredWithHelpOf |
P32063
|
FINISHED |
| Object | bilingual Luwian-Phoenician 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: bilingual Luwian-Phoenician inscriptions | Statement: [Hieroglyphic Luwian, decipheredWithHelpOf, bilingual Luwian-Phoenician inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decipheredWithHelpOf Context triple: [Hieroglyphic Luwian, decipheredWithHelpOf, bilingual Luwian-Phoenician inscriptions]
-
A.
degreeOfDecipherment
Indicates the extent to which something (such as a text, code, or script) has been successfully deciphered or made intelligible.
-
B.
deciphermentStatus
Indicates the degree to which something (such as a text, code, or inscription) has been successfully decoded or interpreted.
-
C.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
-
D.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
E.
covered
Indicates that one entity lies over or on top of another entity so as to conceal, protect, or obscure it.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab630cb34881908c9fb7ed5dedcd77 |
completed | March 6, 2026, 11:28 p.m. |
Created at: March 4, 2026, 7:31 p.m.