Triple
T25089524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang Kai-shek statues |
E628414
|
entity |
| Predicate | hasWritingOnPedestals |
P16756
|
FINISHED |
| Object | Chinese inscriptions |
—
|
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: Chinese inscriptions | Statement: [Chiang Kai-shek statues, hasWritingOnPedestals, Chinese inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWritingOnPedestals Context triple: [Chiang Kai-shek statues, hasWritingOnPedestals, Chinese inscriptions]
-
A.
areWrittenOn
Indicates that one entity serves as a surface or medium on which another entity is inscribed, recorded, or written.
-
B.
hasInscriptions
chosen
Indicates that an object, surface, or artifact bears written, carved, or engraved inscriptions on it.
-
C.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
D.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
E.
hasCarvings
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e7fe048190adfaf71724f707e3 |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:24 a.m.