Triple
T18969090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Xia mausoleums |
E464117
|
entity |
| Predicate | numberOfSatelliteTombs |
P51860
|
FINISHED |
| Object | over 200 |
—
|
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: over 200 | Statement: [Western Xia mausoleums, numberOfSatelliteTombs, over 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSatelliteTombs Context triple: [Western Xia mausoleums, numberOfSatelliteTombs, over 200]
-
A.
hasTombs
Indicates that one entity possesses, contains, or is the location of one or more tombs associated with another entity.
-
B.
numberOfPaintedTombs
Indicates the quantity of tombs that have been painted in relation to a given subject or context.
-
C.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
D.
hasApproximateNumberOfTombs
chosen
Indicates that an entity is associated with a tomb count that is approximate rather than exact.
-
E.
tombLocatedIn
Indicates that a particular tomb is situated within or at a specified location or place.
- 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_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. |
Created at: April 10, 2026, noon