Triple
T36214646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baburam |
E1047655
|
entity |
| Predicate | scriptUsedInNepali |
P56657
|
FINISHED |
| Object | देवराम / बबराम (Devanagari variants) |
—
|
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: देवराम / बबराम (Devanagari variants) | Statement: [Baburam, scriptUsedInNepali, देवराम / बबराम (Devanagari variants)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInNepali Context triple: [Baburam, scriptUsedInNepali, देवराम / बबराम (Devanagari variants)]
-
A.
scriptUsedInIndia
Indicates that a particular writing system or script is used within the geographical or cultural context of India.
-
B.
scriptUsedForLanguage
chosen
Indicates that a particular writing script is employed to write or represent a given language.
-
C.
scriptUsedCurrently
Indicates that a particular writing system or script is the one presently in use for a given language, text, or context.
-
D.
scriptUsedForStandardization
Indicates that a particular writing system or script is employed as the standard reference form for normalizing or harmonizing text or data.
-
E.
usesKunya
Indicates that one entity refers to or identifies another entity by a kunya (a teknonymic nickname, typically based on "father/mother of" someone).
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:09 p.m.