Triple
T25484754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weneg-Nebty |
E638672
|
entity |
| Predicate | kingListAppearance |
P121797
|
FINISHED |
| Object | possibly corresponds to Wadjnes in the Saqqara King List |
—
|
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: possibly corresponds to Wadjnes in the Saqqara King List | Statement: [Weneg-Nebty, kingListAppearance, possibly corresponds to Wadjnes in the Saqqara King List]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kingListAppearance Context triple: [Weneg-Nebty, kingListAppearance, possibly corresponds to Wadjnes in the Saqqara King List]
-
A.
kingListsInclusion
chosen
Indicates that one entity is included as an entry within another entity’s king list or catalog of rulers.
-
B.
recognizedAsRulersBy
Indicates that certain entities are acknowledged or accepted by others as their legitimate rulers or authorities.
-
C.
kingNameVariant
Indicates that one name is an alternative or variant form of a king’s name.
-
D.
kingPowers
Indicates that an entity possesses the legal or authoritative powers associated with a king over another entity or domain.
-
E.
historicalRulers
Indicates that one entity has served as a ruler or governing authority over the other entity at some point in history.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77ad3d0819080476fa776234cd0 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:32 p.m.