Triple
T19336976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India Against Corruption movement |
E483647
|
entity |
| Predicate | massSupport |
P135472
|
FINISHED |
| Object | urban middle class |
—
|
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: urban middle class | Statement: [India Against Corruption movement, massSupport, urban middle class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massSupport Context triple: [India Against Corruption movement, massSupport, urban middle class]
-
A.
massCategory
Indicates the classification of an entity based on its mass into a defined category or range.
-
B.
massFront
Indicates that one entity is positioned directly in front of or facing the front side of another entity in terms of mass or physical arrangement.
-
C.
hasMasses
Indicates that one entity possesses or is associated with one or more masses (quantities of matter).
-
D.
losesMassBy
Indicates that an entity undergoes a process or interaction through which it decreases in mass.
-
E.
massForm
Indicates that an entity takes shape or comes into existence as a mass or aggregate form.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61646e89081908c9f1d2cf557672c |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.