Triple
T35905401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Aiton script |
E1038457
|
entity |
| Predicate | minorityScriptIn |
P183952
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Tai Aiton script, minorityScriptIn, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minorityScriptIn Context triple: [Tai Aiton script, minorityScriptIn, India]
-
A.
spokenByMinorityIn
Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
-
B.
linguisticMinorityIn
Indicates that a group or population constitutes a linguistic minority within a specified geographic or political region.
-
C.
isSpokenByMinority
Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
-
D.
modernLanguageMinority
Indicates that a group or population uses a contemporary language that is spoken by a smaller or less dominant segment within a larger linguistic community or society.
-
E.
nativeNameScript
Indicates the writing system or script in which an entity’s native name is expressed.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.