Triple
T12547117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharavathi |
E299999
|
entity |
| Predicate | mouthNear |
P18935
|
FINISHED |
| Object | Honnavar |
E555169
|
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: Honnavar | Statement: [Sharavathi, mouthNear, Honnavar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honnavar Context triple: [Sharavathi, mouthNear, Honnavar]
-
A.
Honnavar
chosen
Honnavar is a coastal town in Karnataka, India, known for its scenic beaches, river estuaries, and proximity to the Western Ghats.
-
B.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
C.
Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
-
D.
Tivissa
Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
-
E.
Odda
Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95481ba28819099f7cd2de02e8837 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655826bbc8190af20858342c008ff |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.