Triple
T11191967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardez taluka |
E264823
|
entity |
| Predicate | hasMajorTown |
P316
|
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: [Bardez taluka, hasMajorTown, Anjuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjuna Context triple: [Bardez taluka, hasMajorTown, 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.
Sanquelim
Sanquelim is a small town in the Indian state of Goa, known for its scenic surroundings and proximity to the region’s mining and agricultural areas.
-
C.
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.
-
D.
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.
-
E.
Agumbe
Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483ec6ca8819082713a278c987756 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.