Triple
T26514367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | राष्ट्रवादी काँग्रेस पक्ष |
E669771
|
entity |
| Predicate | प्रभावी_प्रदेश |
P144270
|
FINISHED |
| Object |
विदर्भ
विदर्भ हा महाराष्ट्राच्या पूर्व भागातील ऐतिहासिक आणि भौगोलिक प्रदेश असून नागपूरसह अनेक महत्त्वाच्या शहरांचा समावेश असलेला राजकीयदृष्ट्या प्रभावी भाग आहे.
|
E1749413
|
NE FINISHED |
How this triple was built (3 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: विदर्भ | Statement: [राष्ट्रवादी काँग्रेस पक्ष, प्रभावी_प्रदेश, विदर्भ]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: विदर्भ Triple: [राष्ट्रवादी काँग्रेस पक्ष, प्रभावी_प्रदेश, विदर्भ]
Generated description
विदर्भ हा महाराष्ट्राच्या पूर्व भागातील ऐतिहासिक आणि भौगोलिक प्रदेश असून नागपूरसह अनेक महत्त्वाच्या शहरांचा समावेश असलेला राजकीयदृष्ट्या प्रभावी भाग आहे.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: प्रभावी_प्रदेश Context triple: [राष्ट्रवादी काँग्रेस पक्ष, प्रभावी_प्रदेश, विदर्भ]
-
A.
centralProvince
Indicates that a province occupies a central or middle position within a larger geographic, political, or administrative region.
-
B.
affectedProvince
chosen
Indicates that a particular province is impacted or influenced by a specified event, action, or condition.
-
C.
impactRegion
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
-
D.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
E.
isProvincial
Indicates that something belongs to, is characteristic of, or is administered at the level of a province rather than a national or local level.
- F. None of above.
Provenance (6 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_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a122975869881909eda4cc30c4f42e1 |
completed | May 23, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_6a122a2048408190a3a8cf5a2efa9b08 |
completed | May 23, 2026, 10:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122ac1713481909a80761bb471ef49 |
completed | May 23, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 1:22 a.m.