Triple
T1418495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast India |
E31969
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Guwahati |
E30588
|
NE 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: Guwahati | Statement: [Northeast India, hasMajorCity, Guwahati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guwahati Context triple: [Northeast India, hasMajorCity, Guwahati]
-
A.
Guwahati
chosen
Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
-
B.
Shillong
Shillong is the capital city of the northeastern Indian state of Meghalaya, known for its scenic hills, colonial-era architecture, and vibrant cultural life.
-
C.
Dibrugarh
Dibrugarh is a prominent city in northeastern India known as a major commercial and industrial hub of Assam, especially for its tea industry and oil and natural gas sectors.
-
D.
Jorhat
Jorhat is a prominent city in northeastern India known as a cultural and educational hub and a key center of the tea industry in Assam.
-
E.
Chandannagar
Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_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_69ad015cdc8881908887aa0fb0838145 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:59 p.m.