Triple
T7400416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaon district |
E170732
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nagaon |
E652315
|
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: Nagaon | Statement: [Nagaon district, namedAfter, Nagaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagaon Context triple: [Nagaon district, namedAfter, Nagaon]
-
A.
Nagaon
chosen
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.
-
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.
Purnea
Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
-
D.
Golaghat
Golaghat is a town in the Indian state of Assam known for its proximity to Kaziranga National Park and its role as an administrative and commercial center for the surrounding tea-growing region.
-
E.
Muktainagar
Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24f6b7c81908cb61395239d03a0 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e56e62d48190b0e25464ebffe148 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 3:10 p.m.