Triple
T7308296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balrampur, Uttar Pradesh |
E168030
|
entity |
| Predicate | nearestMajorCity |
P1982
|
FINISHED |
| Object | Gonda |
E153864
|
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: Gonda | Statement: [Balrampur, Uttar Pradesh, nearestMajorCity, Gonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonda Context triple: [Balrampur, Uttar Pradesh, nearestMajorCity, Gonda]
-
A.
Gonda
chosen
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
D.
Girolata
Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
-
E.
Rendulic
Rendulic is a German-language surname most notably associated with Lothar Rendulic, an Austrian-born German army general during World War II.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebda7b748190a230a22ecea79342 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa75d64c8190be20be58c81446e1 |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3:01 p.m.