Triple
T31046583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongsheng Temple |
E791141
|
entity |
| Predicate | mainPagodaName |
P179056
|
FINISHED |
| Object | Qianxun Pagoda |
—
|
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: Qianxun Pagoda | Statement: [Chongsheng Temple, mainPagodaName, Qianxun Pagoda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPagodaName Context triple: [Chongsheng Temple, mainPagodaName, Qianxun Pagoda]
-
A.
mainPagodaHeight
Indicates the height measurement of the primary or central pagoda in a given context.
-
B.
hasPagoda
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
-
C.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
D.
hasFiveStoryPagoda
Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
-
E.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 29, 2026, 8:59 p.m.