Triple
T14801746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozhikode railway station |
E347924
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Mangaluru |
E156874
|
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: Mangaluru | Statement: [Kozhikode railway station, connectsTo, Mangaluru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangaluru Context triple: [Kozhikode railway station, connectsTo, Mangaluru]
-
A.
Mangalore
chosen
Mangalore is a major port city on the southwestern coast of India, known for its maritime trade, diverse culture, and role as a commercial hub of Karnataka.
-
B.
Madikeri
Madikeri is a scenic hill town in Karnataka’s Coorg region, known for its cool climate, coffee plantations, and lush Western Ghats landscapes.
-
C.
Mysuru
Mysuru is a historic city in the southern Indian state of Karnataka, renowned for its royal heritage, palaces, and cultural festivals such as Dasara.
-
D.
Karkala
Karkala is a historic town in Karnataka, India, renowned for its towering monolithic statue of Bahubali and its significance as a major Digambara Jain pilgrimage center.
-
E.
Hubli
Hubli is a major commercial and transportation hub in the Indian state of Karnataka, known for its busy railway junction and growing industrial economy.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf30d044819082ac038e06481aab |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28b707481908611ae8e23de3294 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 1:31 a.m.