Triple
T12622087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotayk Province |
E301406
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Abovyan
Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
|
E995937
|
NE FINISHED |
How this triple was built (4 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: Abovyan | Statement: [Kotayk Province, contains, Abovyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abovyan Context triple: [Kotayk Province, contains, Abovyan]
-
A.
Tsaghkadzor
Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
-
B.
Aghvank
Aghvank is the historical name for Caucasian Albania, an ancient kingdom located in the eastern Caucasus region, roughly corresponding to parts of modern-day Azerbaijan and southern Dagestan.
-
C.
Nagornaya
Nagornaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Nagorny District in southern Moscow.
-
D.
Mestia
Mestia is a highland town in northwestern Georgia, renowned as a cultural and tourist hub of the Svaneti region in the Caucasus Mountains.
-
E.
Koghb
Koghb is a village in northeastern Armenia known for its historic churches, archaeological sites, and scenic location near the border with Georgia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abovyan Triple: [Kotayk Province, contains, Abovyan]
Generated description
Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abovyan Target entity description: Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
-
A.
Tsaghkadzor
Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
-
B.
Aghvank
Aghvank is the historical name for Caucasian Albania, an ancient kingdom located in the eastern Caucasus region, roughly corresponding to parts of modern-day Azerbaijan and southern Dagestan.
-
C.
Nagornaya
Nagornaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Nagorny District in southern Moscow.
-
D.
Mestia
Mestia is a highland town in northwestern Georgia, renowned as a cultural and tourist hub of the Svaneti region in the Caucasus Mountains.
-
E.
Koghb
Koghb is a village in northeastern Armenia known for its historic churches, archaeological sites, and scenic location near the border with Georgia.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f66a232cec81909846400f8725aede |
completed | May 2, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b18e68881908bf79ab52bcc909e |
completed | May 2, 2026, 9:22 p.m. |
Created at: April 9, 2026, 5:14 p.m.