Triple
T27649313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Wadjet |
E696802
|
entity |
| Predicate | associatedWithCrown |
P201941
|
FINISHED |
| Object | Red Crown of Lower Egypt |
—
|
NE NERFINISHED |
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: Red Crown of Lower Egypt | Statement: [Temple of Wadjet, associatedWithCrown, Red Crown of Lower Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCrown Context triple: [Temple of Wadjet, associatedWithCrown, Red Crown of Lower Egypt]
-
A.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
B.
crownContains
Indicates that a crown includes or holds within it a specified object, element, or component.
-
C.
crownDepicted
Indicates that one entity visually represents or shows a crown associated with another entity.
-
D.
crownPresent
Indicates that a crown is currently present on or with the relevant entity.
-
E.
crownCharacteristic
Indicates that an entity has a particular property, feature, or quality specifically associated with its crown.
- F. None of above. chosen
Provenance (4 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
| PDg | Predicate description generation | batch_6a00383d83c08190af7bc00f17affd97 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 27, 2026, 2:31 p.m.