Triple
T9603593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Woodroffe |
E231911
|
entity |
| Predicate | viewOnIndia |
P20278
|
FINISHED |
| Object | defended Indian culture against colonial critiques |
—
|
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: defended Indian culture against colonial critiques | Statement: [Sir John Woodroffe, viewOnIndia, defended Indian culture against colonial critiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnIndia Context triple: [Sir John Woodroffe, viewOnIndia, defended Indian culture against colonial critiques]
-
A.
viewsIndiaAs
chosen
Indicates perceiving or regarding India in a particular way, such as holding a specific opinion, attitude, or characterization about India.
-
B.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
C.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
D.
viewOnIsrael
Indicates a stance, opinion, or perspective that an entity holds regarding Israel.
-
E.
viewOnInterest
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5cddf481909aa6b589bcb3e71a |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.