Triple
T15370034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sarcophagus of Senusret II (empty when found) |
E367520
|
entity |
| Predicate | statusOfContents |
P127
|
FINISHED |
| Object | original contents missing |
—
|
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: original contents missing | Statement: [sarcophagus of Senusret II (empty when found), statusOfContents, original contents missing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfContents Context triple: [sarcophagus of Senusret II (empty when found), statusOfContents, original contents missing]
-
A.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
B.
statusInBooks
Indicates the role, condition, or standing that an entity holds within one or more books.
-
C.
compositionStatus
Indicates the current state or phase of completion of a composition or creative work, such as whether it is planned, in progress, revised, or finalized.
-
D.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
materialStatus
Indicates the current state or condition of a material, such as its availability, usage, or processing stage.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4b88a881909f9575c02aed287d |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.