Triple
T23065062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarnamukhi River |
E575013
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Srikalahasti |
—
|
NE NERFINISHED |
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: Srikalahasti | Statement: [Swarnamukhi River, nearbyTown, Srikalahasti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srikalahasti Context triple: [Swarnamukhi River, nearbyTown, Srikalahasti]
-
A.
Srikalahasti
chosen
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
-
B.
Srikakulam
Srikakulam is a city in the northeastern part of Andhra Pradesh, India, known as a regional administrative and commercial center near the Bay of Bengal.
-
C.
Kaniguram
Kaniguram is a historic town in South Waziristan, Pakistan, known as a traditional center of the Ormur (Burki) ethnic community.
-
D.
Srikurmam
Srikurmam is a renowned Hindu pilgrimage site in Andhra Pradesh, India, famous for its ancient temple dedicated to Kurma, the tortoise incarnation of Vishnu.
-
E.
Krishnasayar
Krishnasayar is a historic lake and popular recreational spot in Bardhaman, West Bengal, known for its scenic beauty and local cultural significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a2eb5c81908a90e22ff2a56430 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.