Triple
T25365629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thủy Sơn |
E636090
|
entity |
| Predicate | hasReligiousStructures |
P916
|
FINISHED |
| Object | pagodas |
—
|
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: pagodas | Statement: [Thủy Sơn, hasReligiousStructures, pagodas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousStructures Context triple: [Thủy Sơn, hasReligiousStructures, pagodas]
-
A.
hasReligiousBuildingAlong
Indicates that a religious building is located along the course, path, or extent of the referenced entity.
-
B.
hasReligiousSite
chosen
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
C.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
-
D.
hasClericalStructure
Indicates that an entity possesses an organized clerical or administrative hierarchy or framework.
-
E.
hasReligiousSettlement
Indicates that one entity possesses, contains, or is the location of a religious settlement associated with it.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 21, 2026, 1:36 p.m.