Triple
T20644325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylhet Division |
E507311
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Jaflong |
—
|
NE NERFINISHED |
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: Jaflong | Statement: [Sylhet Division, hasNotablePlace, Jaflong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaflong Context triple: [Sylhet Division, hasNotablePlace, Jaflong]
-
A.
Jaflong
chosen
Jaflong is a scenic riverine and hilly tourist destination in northeastern Bangladesh, known for its stone collection activities, tea gardens, and views of the Meghalaya hills.
-
B.
Haflong
Haflong is a hill town in the Dima Hasao district of Assam, India, known for its scenic landscapes, indigenous cultures, and role as a regional tourism and administrative center.
-
C.
Phungling
Phungling is a town in eastern Nepal that serves as the main urban and commercial center of Taplejung District in Province No. 1.
-
D.
Jumgal
Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.