Triple
T1418497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast India |
E31969
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Shillong |
E45294
|
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: Shillong | Statement: [Northeast India, hasMajorCity, Shillong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shillong Context triple: [Northeast India, hasMajorCity, Shillong]
-
A.
Shillong
chosen
Shillong is the capital city of the northeastern Indian state of Meghalaya, known for its scenic hills, colonial-era architecture, and vibrant cultural life.
-
B.
Imphal
Imphal is the capital city of the Indian state of Manipur, known for its scenic valleys, historic Kangla Fort, and cultural significance in Northeast India.
-
C.
Guwahati
Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
-
D.
Gangtok
Gangtok is the capital city of the Indian state of Sikkim, known for its Himalayan scenery, Buddhist monasteries, and role as a major cultural and tourism hub in the region.
-
E.
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.
- 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_69ad0e6a09bc8190a9c67ec42c187340 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 7:59 p.m.