Triple
T1418163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E31965
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Cooch Behar
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
|
E179035
|
NE FINISHED |
How this triple was built (4 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: Cooch Behar | Statement: [West Bengal, containsTown, Cooch Behar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooch Behar Context triple: [West Bengal, containsTown, Cooch Behar]
-
A.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
B.
Sikkim
Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
-
C.
Meghalaya
Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
-
D.
Tripura
Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
-
E.
Manipur
Manipur is a northeastern Indian state known for its scenic hills and valleys, rich indigenous cultures, and capital city Imphal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Cooch Behar Triple: [West Bengal, containsTown, Cooch Behar]
Generated description
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cooch Behar Target entity description: Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
-
A.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
B.
Sikkim
Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
-
C.
Meghalaya
Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
-
D.
Tripura
Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
-
E.
Manipur
Manipur is a northeastern Indian state known for its scenic hills and valleys, rich indigenous cultures, and capital city Imphal.
- F. None of above. chosen
Provenance (5 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad400e0a8c8190956ec444b86aa28c |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad4124554c819080978ca73a2c1404 |
completed | March 8, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41968e4c8190b843b97e18ac9968 |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 1, 2026, 7:59 p.m.