Triple
T13591105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iruppu Falls |
E324693
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Virajpet |
E326161
|
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: Virajpet | Statement: [Iruppu Falls, nearestCity, Virajpet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virajpet Context triple: [Iruppu Falls, nearestCity, Virajpet]
-
A.
Virajpet
chosen
Virajpet is a town in the Kodagu (Coorg) district of Karnataka, India, known as a gateway to the scenic Brahmagiri Hills and surrounding Western Ghats.
-
B.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
C.
Chiplun
Chiplun is a town in Maharashtra, India, situated along the Vashishti River and known as a commercial and transport hub in the Konkan region.
-
D.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
E.
Ulhasnagar
Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce60b1248190addfbfc1c5ccd2d1 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:49 p.m.