Triple
T20987004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vacha River |
E516915
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Krichim |
—
|
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: Krichim | Statement: [Vacha River, passesNear, Krichim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krichim Context triple: [Vacha River, passesNear, Krichim]
-
A.
Krichim
chosen
Krichim is a small town in southern Bulgaria known for its scenic location near the Rhodope Mountains and its agricultural and hydroelectric activities.
-
B.
Balchoth
The Balchoth are a warlike Easterling people in J.R.R. Tolkien’s Middle-earth legendarium, known for serving Sauron and invading Gondor from the eastern lands.
-
C.
Rakhumai
Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
-
D.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
E.
Garraka
Garraka is the powerful ancient demonic spirit who serves as the primary antagonist threatening New York City in the film "Ghostbusters: Frozen Empire."
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe3fbac819086d3079aaddca5b1 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:49 p.m.