Triple
T9414538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penna River |
E226982
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Kadapa |
E672271
|
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: Kadapa | Statement: [Penna River, majorCityOnRiver, Kadapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadapa Context triple: [Penna River, majorCityOnRiver, Kadapa]
-
A.
Kadapa
chosen
Kadapa is a major city in the Rayalaseema region of Andhra Pradesh, India, known as an important administrative and commercial center.
-
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.
Kadaram
Kadaram was a prominent Southeast Asian port city and political center, often identified with Kedah in present-day Malaysia, that became a key target of South Indian maritime expansion in the 11th century.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Bharathipura
Bharathipura is a landmark Kannada novel by U. R. Ananthamurthy that critically explores caste, modernity, and social reform in a South Indian village.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b63cf48190a072e3434a7b85a8 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:47 p.m.