Triple
T17900946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pambak River |
E447574
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Stepanavan |
—
|
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: Stepanavan | Statement: [Pambak River, passesNear, Stepanavan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stepanavan Context triple: [Pambak River, passesNear, Stepanavan]
-
A.
Stepanavan
chosen
Stepanavan is a town in northern Armenia known for its cool climate, surrounding forests, and proximity to the Stepanavan Dendropark botanical garden.
-
B.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
C.
Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
-
D.
Shostka
Shostka is a city in northern Ukraine’s Sumy Oblast, historically known as an important center of the chemical and munitions industry.
-
E.
Nestan-Darejan
Nestan-Darejan is a central heroine of the medieval Georgian epic poem "The Knight in the Panther’s Skin," renowned for her beauty, nobility, and the trials she endures in love and captivity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8321bc8190a3f679d96323cbbb |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.