Triple
T24486881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iusaaset |
E617533
|
entity |
| Predicate | religiousTextAttestedIn |
P156487
|
FINISHED |
| Object | Pyramid Texts |
E56946
|
NE 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: Pyramid Texts | Statement: [Iusaaset, religiousTextAttestedIn, Pyramid Texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTextAttestedIn Context triple: [Iusaaset, religiousTextAttestedIn, Pyramid Texts]
-
A.
religiousTextMentionedIn
Indicates that a religious text is referenced, cited, or discussed within another work or source.
-
B.
religiousTextOf
Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
-
C.
religiousTextsUsed
Indicates that certain religious texts are employed or referenced in the practice, teaching, or observance associated with an entity.
-
D.
religiousTextType
Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
-
E.
religiousTextAssociation
Indicates an association where one entity is a religious text that is used by, foundational to, or authoritative for another entity (such as a person, group, or religion).
- F. None of above. chosen
Provenance (5 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fee7edf5c8190b271800a3da314aa |
completed | May 22, 2026, 5:49 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.