Triple
T12543149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirak Province |
E299892
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Vardaghbyur
Vardaghbyur is a rural village located in Armenia's Shirak Province.
|
E988814
|
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: Vardaghbyur | Statement: [Shirak Province, containsVillage, Vardaghbyur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vardaghbyur Context triple: [Shirak Province, containsVillage, Vardaghbyur]
-
A.
Garmsar
Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
-
B.
Lebesby
Lebesby is a sparsely populated coastal municipality in Troms og Finnmark county in northern Norway, known for its Arctic landscapes, fishing communities, and proximity to the Barents Sea.
-
C.
Sarnaghbyur
Sarnaghbyur is a village in northwestern Armenia known for its location within the country’s Shirak Province.
-
D.
Övdalian
Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
-
E.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
- 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: Vardaghbyur Triple: [Shirak Province, containsVillage, Vardaghbyur]
Generated description
Vardaghbyur is a rural village located in Armenia's Shirak Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vardaghbyur Target entity description: Vardaghbyur is a rural village located in Armenia's Shirak Province.
-
A.
Garmsar
Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
-
B.
Lebesby
Lebesby is a sparsely populated coastal municipality in Troms og Finnmark county in northern Norway, known for its Arctic landscapes, fishing communities, and proximity to the Barents Sea.
-
C.
Sarnaghbyur
chosen
Sarnaghbyur is a village in northwestern Armenia known for its location within the country’s Shirak Province.
-
D.
Övdalian
Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
-
E.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
- F. None of above.
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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547d6df4819080db8415d386ed38 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb317148190990d47f50324a1b1 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fadc97081908376913e390cfc3d |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f660c3d914819097b57784889ca389 |
completed | May 2, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:57 p.m.