Triple
T11827029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaya district |
E281283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Konch |
E490876
|
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: Konch | Statement: [Gaya district, contains, Konch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konch Context triple: [Gaya district, contains, Konch]
-
A.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
B.
Kodo
Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
-
C.
Koonch
chosen
Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
-
D.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
-
E.
Kokane
Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f132062b108190ad33656c386ee603 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 8, 2026, 9:43 p.m.