Triple
T7014748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darjeeling |
E162673
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Darjeeling district |
E162673
|
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: Darjeeling district | Statement: [Darjeeling, district, Darjeeling district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darjeeling district Context triple: [Darjeeling, district, Darjeeling district]
-
A.
Darjeeling
chosen
Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
-
B.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
C.
Ranikhet
Ranikhet is a hill station and cantonment town in the Kumaon region of Uttarakhand, India, known for its scenic Himalayan views and pleasant climate.
-
D.
Cooch Behar
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
-
E.
Begusarai district
Begusarai district is an administrative district in the Indian state of Bihar, known for its industrial activities and location along the Ganges River.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d31edc8190931655616d0739d1 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a53e96081909dfe21a80b20f80d |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:34 p.m.