Triple
T9321412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatrak River |
E224270
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Kapadvanj |
E365454
|
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: Kapadvanj | Statement: [Vatrak River, nearbySettlement, Kapadvanj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapadvanj Context triple: [Vatrak River, nearbySettlement, Kapadvanj]
-
A.
Kapadvanj
chosen
Kapadvanj is a historic town in the Kheda district of Gujarat, India, known for its traditional markets and regional cultural heritage.
-
B.
Arjan Garh
Arjan Garh is an elevated station on the Delhi Metro network serving the southern outskirts of Delhi near the Haryana border.
-
C.
Bhit Shah
Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
-
D.
Chikhaldara
Chikhaldara is a hill station in Maharashtra, India, known for its cool climate, coffee plantations, and scenic views of the surrounding Satpura ranges.
-
E.
Sangla Valley
Sangla Valley is a picturesque Himalayan valley in Himachal Pradesh, India, renowned for its apple orchards, traditional Kinnauri culture, and dramatic mountain landscapes.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7cc71e48190afdc3f1120ce5e02 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.