Triple
T25925355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoa Hao |
E653285
|
entity |
| Predicate | statusInVietnam |
P175290
|
FINISHED |
| Object | officially recognized religious organization |
—
|
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: officially recognized religious organization | Statement: [Hoa Hao, statusInVietnam, officially recognized religious organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInVietnam Context triple: [Hoa Hao, statusInVietnam, officially recognized religious organization]
-
A.
statusInThailand
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Thailand.
-
B.
statusInVanuatu
Indicates the legal, social, or official standing or condition that an entity holds within the jurisdiction of Vanuatu.
-
C.
statusInIndonesia
Indicates the legal, social, or operational standing or condition of an entity specifically within the context of Indonesia.
-
D.
statusInJapan
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Japan.
-
E.
statusInMalaysia
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Malaysia.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 22, 2026, 8:35 a.m.