Triple
T29348164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV22 |
E744226
|
entity |
| Predicate | hasFuneraryEquipmentRemains |
P80843
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [KV22, hasFuneraryEquipmentRemains, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFuneraryEquipmentRemains Context triple: [KV22, hasFuneraryEquipmentRemains, yes]
-
A.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
B.
hasBuriedRemains
chosen
Indicates that one entity contains or is the location of the buried remains of another entity.
-
C.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
D.
hasBurialCustoms
Indicates that a group, culture, or society practices specific rituals or customs related to the treatment and burial of the dead.
-
E.
hasSarcophagusMaterial
Indicates that a sarcophagus is made from, or primarily composed of, a specified material.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669595a0881908ea97caf704fefb3 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:04 p.m.