Triple
T23973117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tam Coc–Bich Dong |
E604288
|
entity |
| Predicate | containsPagoda |
P32932
|
FINISHED |
| Object | Bich Dong 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: Bich Dong Pagoda | Statement: [Tam Coc–Bich Dong, containsPagoda, Bich Dong Pagoda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPagoda Context triple: [Tam Coc–Bich Dong, containsPagoda, Bich Dong Pagoda]
-
A.
hasPagoda
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
-
B.
hasFiveStoryPagoda
Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
-
C.
numberOfPagodasInPagodaForest
Indicates the numerical count of pagodas that are present within a given pagoda forest.
-
D.
eastPagodaStatus
Indicates the current condition or state of the east pagoda in relation to the context or system being described.
-
E.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dda91c8190af716bceb3225aee |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.