Triple
T7302428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaldapara National Park |
E167889
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Alipurduar |
E162676
|
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: Alipurduar | Statement: [Jaldapara National Park, nearestCity, Alipurduar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alipurduar Context triple: [Jaldapara National Park, nearestCity, Alipurduar]
-
A.
Alipurduar
chosen
Alipurduar is a town in northeastern West Bengal, India, known as a gateway to the Dooars region and several nearby wildlife sanctuaries and national parks.
-
B.
Benipur
Benipur is a town in the Darbhanga region of the Indian state of Bihar, known as a local center of trade and daily commerce.
-
C.
Tathra
Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
-
D.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Ruma
Ruma is a central character in Jhumpa Lahiri’s short story “Unaccustomed Earth,” a second-generation Indian American woman navigating family expectations, grief, and cultural identity.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.