Triple
T10780683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thivim railway station |
E254310
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Anjuna |
E52805
|
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: Anjuna | Statement: [Thivim railway station, serves, Anjuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjuna Context triple: [Thivim railway station, serves, Anjuna]
-
A.
Anjuna Beach
chosen
Anjuna Beach is a famous coastal destination in Goa, India, known for its vibrant nightlife, trance parties, and scenic rocky shoreline.
-
B.
Kaladi Beach
Kaladi Beach is a scenic, pebbly seaside spot on the Greek island of Kythira, known for its clear turquoise waters and dramatic rocky surroundings.
-
C.
Ramakrishna Beach
Ramakrishna Beach is a popular seaside promenade and tourist attraction along the Bay of Bengal in Visakhapatnam, India, known for its scenic coastline, recreational activities, and nearby cultural landmarks.
-
D.
Agumbe
Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
-
E.
Jampore Beach
Jampore Beach is a popular coastal destination near Daman known for its long sandy shoreline, calm waters, and relaxed seaside atmosphere.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c48c488190a2b3162202b74726 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.