Triple
T28837855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfume Pagoda Festival |
E728233
|
entity |
| Predicate | heldInCavePagoda |
P165650
|
FINISHED |
| Object | Hương Tích Cave |
—
|
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: Hương Tích Cave | Statement: [Perfume Pagoda Festival, heldInCavePagoda, Hương Tích Cave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldInCavePagoda Context triple: [Perfume Pagoda Festival, heldInCavePagoda, Hương Tích Cave]
-
A.
hasPagoda
Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
-
B.
enshrinedWithin
Indicates that one entity is formally preserved, honored, or safeguarded inside or as part of another entity, often with a sense of protection or reverence.
-
C.
numberOfBuddhistCaves
Indicates the quantity of caves associated with Buddhism that are related to a given entity.
-
D.
numberOfPagodasInPagodaForest
Indicates the numerical count of pagodas that are present within a given pagoda forest.
-
E.
residesInTemple
Indicates that one entity lives or dwells within a temple associated with another entity.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596fae5c81908eb8abb59acf3471 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:39 a.m.