Triple
T13768187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hrazdan River |
E330805
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hrazdan |
E992880
|
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: Hrazdan | Statement: [Hrazdan River, flowsThrough, Hrazdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hrazdan Context triple: [Hrazdan River, flowsThrough, Hrazdan]
-
A.
Hrazdan
chosen
Hrazdan is a town in central Armenia that serves as an important industrial and administrative center in the Kotayk region.
-
B.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
C.
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
D.
Kardenakhi
Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
-
E.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.