Triple
T23955915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhetri |
E603786
|
entity |
| Predicate | legalClassificationInNepal |
P76736
|
FINISHED |
| Object | Khas Arya |
—
|
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: Khas Arya | Statement: [Chhetri, legalClassificationInNepal, Khas Arya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalClassificationInNepal Context triple: [Chhetri, legalClassificationInNepal, Khas Arya]
-
A.
legalCategoryInIndia
Indicates that an entity belongs to a specific legally defined category or classification under Indian law.
-
B.
legalClassificationInJapan
Indicates how something is categorized or defined under Japanese law.
-
C.
juridicalCategory
chosen
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
D.
legalClassificationInMalaysia
Indicates how something is categorized or classified under Malaysian law.
-
E.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d6d7688190bedf55dda8e72b2b |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.