Triple
T16075740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tausret |
E389974
|
entity |
| Predicate | tombDecorationPhase |
P121799
|
FINISHED |
| Object | originally decorated for Tausret |
—
|
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: originally decorated for Tausret | Statement: [Tausret, tombDecorationPhase, originally decorated for Tausret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tombDecorationPhase Context triple: [Tausret, tombDecorationPhase, originally decorated for Tausret]
-
A.
tombDecoration
Indicates that something serves as an ornamental or symbolic adornment associated with a tomb.
-
B.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
C.
timeInTomb
Indicates the duration that an entity remains or has remained inside a tomb.
-
D.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
E.
tombCategory
Indicates the classification or type of a tomb that an entity is associated with.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:57 a.m.