Triple
T13477974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamundi Hill |
E318296
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Karanji Lake |
E1051005
|
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: Karanji Lake | Statement: [Chamundi Hill, hasViewOf, Karanji Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karanji Lake Context triple: [Chamundi Hill, hasViewOf, Karanji Lake]
-
A.
Karanji Lake
chosen
Karanji Lake is a scenic urban lake and nature park in Mysore, India, known for its rich birdlife, boating, and tranquil surroundings.
-
B.
Kunduvada Lake
Kunduvada Lake is a prominent freshwater lake and popular recreational spot located in Davangere, Karnataka, India.
-
C.
Madhukar Sagar Lake
Madhukar Sagar Lake is a prominent reservoir and scenic water body located near Mahoba in the Bundelkhand region of Uttar Pradesh, India.
-
D.
Sarangan Lake
Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
-
E.
Berijam Lake
Berijam Lake is a scenic freshwater reservoir near Kodaikanal in Tamil Nadu, India, known for its tranquil forested surroundings, rich biodiversity, and popular nature trails.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a835ea448190a5ddaf8479e0b36c |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:42 p.m.