Triple
T31747213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tomb of Psusennes I |
E810303
|
entity |
| Predicate | materialOfFuneraryMask |
P1272
|
FINISHED |
| Object | gold |
—
|
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 | Statement: [tomb of Psusennes I, materialOfFuneraryMask, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfFuneraryMask Context triple: [tomb of Psusennes I, materialOfFuneraryMask, gold]
-
A.
hasSarcophagusMaterial
Indicates that a sarcophagus is made from, or primarily composed of, a specified material.
-
B.
pyramidConstructionMaterial
Indicates the material from which a pyramid is built or primarily constructed.
-
C.
mummificationStyle
Indicates the specific method or technique used to mummify an entity.
-
D.
PyrgiTabletsMaterial
Indicates that something is made of, or composed from, the material used for the Pyrgi Tablets.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 30, 2026, 11:27 p.m.