Triple
T18969089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Xia mausoleums |
E464117
|
entity |
| Predicate | numberOfImperialMausoleums |
P133987
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Western Xia mausoleums, numberOfImperialMausoleums, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImperialMausoleums Context triple: [Western Xia mausoleums, numberOfImperialMausoleums, 9]
-
A.
hasMausoleum
Indicates that one entity possesses, contains, or is associated with a mausoleum dedicated to another entity.
-
B.
numberOfCoffins
Indicates the quantity of coffins associated with a given entity or situation.
-
C.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
D.
numberOfInterred
Indicates the total count of individuals who are buried or interred at a given site or within a specified context.
-
E.
numberOfRoyalMummiesDisplayed
Indicates the quantity of royal mummies that are currently being exhibited or put on public display.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d618e2ec8190848a41733e6db2f1 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, noon