Triple
T12622110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotayk Province |
E301406
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Tsaghkadzor resort town |
E992565
|
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: Tsaghkadzor resort town | Statement: [Kotayk Province, knownFor, Tsaghkadzor resort town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsaghkadzor resort town Context triple: [Kotayk Province, knownFor, Tsaghkadzor resort town]
-
A.
Tsaghkadzor
chosen
Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
-
B.
Tsaghkadzor ski resort
Tsaghkadzor ski resort is a popular Armenian mountain resort town known for its ski slopes, modern lifts, and scenic setting on the slopes of Mount Teghenis.
-
C.
Marmashen
Marmashen is a rural village in northwestern Armenia known for its proximity to the historic Marmashen Monastery complex.
-
D.
Dilijan
Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
-
E.
Imeretinsky resort area
The Imeretinsky resort area is a coastal tourist district in Sochi, Russia, known for its modern hotels, beaches, and proximity to the 2014 Winter Olympics venues.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:14 p.m.