Triple
T8740396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Amanishakheto |
E207484
|
entity |
| Predicate | artifactDiscoveredInTomb |
P69431
|
FINISHED |
| Object | gold necklaces |
—
|
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: gold necklaces | Statement: [Queen Amanishakheto, artifactDiscoveredInTomb, gold necklaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artifactDiscoveredInTomb Context triple: [Queen Amanishakheto, artifactDiscoveredInTomb, gold necklaces]
-
A.
tombDiscovered
Indicates that a tomb has been found or uncovered, typically as the result of exploration, excavation, or chance discovery.
-
B.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
C.
tombContents
chosen
Indicates that a tomb contains or holds specific items, remains, or artifacts within it.
-
D.
tombLocatedIn
Indicates that a particular tomb is situated within or at a specified location or place.
-
E.
royalNecropolis
Indicates a burial place or cemetery specifically designated for royalty or members of a royal family.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d4a0cf481909c770cb39fd00fcd |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.