Triple
T20568967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti |
E505038
|
entity |
| Predicate | neighboringRegion |
P17964
|
FINISHED |
| Object | Vatsa |
—
|
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: Vatsa | Statement: [Avanti, neighboringRegion, Vatsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vatsa Context triple: [Avanti, neighboringRegion, Vatsa]
-
A.
Vatsa
chosen
Vatsa was an ancient Indian kingdom and one of the sixteen Mahajanapadas, known from early Buddhist and Jain texts for its political and cultural significance.
-
B.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
-
C.
Bublava
Bublava is a small village and municipality in the Karlovy Vary Region of the Czech Republic, located near the German border in a mountainous, forested area.
-
D.
Valdai
Valdai is a line of medium-duty trucks produced by the Russian automotive manufacturer GAZ Group.
-
E.
Vatutin
Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a4b90c81909854dac72f671eec |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.