Triple
T26514345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | राष्ट्रवादी काँग्रेस पक्ष |
E669771
|
entity |
| Predicate | मुख्य_राज्य |
P36755
|
FINISHED |
| Object | महाराष्ट्र |
—
|
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: महाराष्ट्र | Statement: [राष्ट्रवादी काँग्रेस पक्ष, मुख्य_राज्य, महाराष्ट्र]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: मुख्य_राज्य Context triple: [राष्ट्रवादी काँग्रेस पक्ष, मुख्य_राज्य, महाराष्ट्र]
-
A.
majorState
Indicates that a state holds significant power, influence, or importance relative to other states within a given system or context.
-
B.
principalState
chosen
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
C.
mainProvinces
Indicates that certain provinces are the primary or most significant administrative regions associated with a given entity.
-
D.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
E.
representsMainlandState
Indicates that one entity serves as the primary mainland state associated with another entity, such as a territory, region, or dependency.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61394b50c81909e628b2e5b1aa3d5 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:22 a.m.