Triple
T13520257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vengurla Beach |
E322874
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vengurla town |
E316878
|
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: Vengurla town | Statement: [Vengurla Beach, near, Vengurla town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vengurla town Context triple: [Vengurla Beach, near, Vengurla town]
-
A.
Vengurla
chosen
Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
-
B.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
C.
Shelkar town
Shelkar town is a settlement in Tibet that serves as an important local center within Tingri County, known historically as a stop along routes to Mount Everest and other Himalayan regions.
-
D.
Vithalwadi
Vithalwadi is a suburban railway station in the Mumbai metropolitan area that serves local commuters on the Central Line.
-
E.
Lakkundi
Lakkundi is a historic village in Karnataka, India, renowned for its intricately carved medieval temples and stepwells built during the Western Chalukya period.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d93a2608190a3a693bf4086a010 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.