Triple
T10736589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udupi district |
E253209
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Manipal |
E533754
|
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: Manipal | Statement: [Udupi district, hasTown, Manipal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manipal Context triple: [Udupi district, hasTown, Manipal]
-
A.
Manipal
chosen
Manipal is a university town in Karnataka, India, known for its large private educational institutions and vibrant student community.
-
B.
Kapadapuram
Kapadapuram is a legendary ancient city in Tamil tradition, traditionally regarded as the seat of the Second Sangam, an early Tamil literary academy.
-
C.
Viman Nagar
Viman Nagar is a prominent residential and commercial neighborhood in Pune, India, known for its proximity to the airport, IT parks, shopping malls, and educational institutions.
-
D.
Raichur
Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
-
E.
Kalyani
Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71022aee0819091a5790d3dee6777 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.