Triple
T29348172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV22 |
E744226
|
entity |
| Predicate | containsHieroglyphicTexts |
P169889
|
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, containsHieroglyphicTexts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsHieroglyphicTexts Context triple: [KV22, containsHieroglyphicTexts, yes]
-
A.
pyramidTextInscriptions
Indicates that the subject has text inscriptions located on or within a pyramid.
-
B.
usedHieroglyphicWriting
Indicates that the subject employed hieroglyphic writing as a system of written communication.
-
C.
hasTypeOfInscriptions
chosen
Indicates that an entity bears or is associated with a specific kind or category of inscriptions.
-
D.
EgyptianVersionInscribedOn
Indicates that an Egyptian-language version of a text or inscription is carved or written onto a particular physical object or surface.
-
E.
hasArabicInscription
Indicates that an entity bears or contains an inscription written in the Arabic script or language.
- 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_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 28, 2026, 2:04 p.m.