Triple
T3374880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olbrich Botanical Gardens |
E71042
|
entity |
| Predicate | Thai PavilionType |
P12264
|
FINISHED |
| Object | sala |
—
|
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: sala | Statement: [Olbrich Botanical Gardens, Thai PavilionType, sala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Thai PavilionType Context triple: [Olbrich Botanical Gardens, Thai PavilionType, sala]
-
A.
hasPavilion
chosen
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
B.
palace
Indicates that an entity is a palace, i.e., a grand official residence typically used by royalty or high-ranking authorities.
-
C.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
D.
ianaLocation
Indicates that an entity is associated with a specific geographic or network location identified using an IANA-defined naming or coding scheme.
-
E.
numberOfPavilions
Indicates the total count of pavilions associated with a given entity or context.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e5fc6c81909ff582611751096d |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.