Triple
T9247361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Egyptian Civilization |
E222229
|
entity |
| Predicate | numberOfRoyalMummiesDisplayed |
P87770
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [National Museum of Egyptian Civilization, numberOfRoyalMummiesDisplayed, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRoyalMummiesDisplayed Context triple: [National Museum of Egyptian Civilization, numberOfRoyalMummiesDisplayed, 22]
-
A.
royalNecropolis
Indicates a burial place or cemetery specifically designated for royalty or members of a royal family.
-
B.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
C.
numberOfCoffins
Indicates the quantity of coffins associated with a given entity or situation.
-
D.
tombContents
Indicates that a tomb contains or holds specific items, remains, or artifacts within it.
-
E.
hasPartInMausoleum
Indicates that an entity is a component, section, or element contained within or forming part of a mausoleum.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f55a848190a59e7087cc07f6ef |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:31 p.m.