Triple
T7741860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Assam |
E175528
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Sivasagar |
E658991
|
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: Sivasagar | Statement: [Upper Assam, majorCity, Sivasagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivasagar Context triple: [Upper Assam, majorCity, Sivasagar]
-
A.
Sivasagar
chosen
Sivasagar is a historic town in the Indian state of Assam, renowned for its Ahom-era monuments, temples, and large man-made tanks.
-
B.
Tinsukia
Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
-
C.
Nagaon
Nagaon is a major town and administrative center in the Indian state of Assam, known for its agricultural economy and strategic location in the Brahmaputra Valley.
-
D.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
E.
Sipajhar
Sipajhar is a town and administrative center in the Indian state of Assam, known for its role as a local hub within Darrang district.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70387807081909546bc7c209955ef |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6a2bdd08190897705615109dae0 |
completed | April 2, 2026, 3:46 a.m. |
Created at: March 27, 2026, 4:07 p.m.