Triple
T12543132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirak Province |
E299892
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Sarnaghbyur
Sarnaghbyur is a village in northwestern Armenia known for its location within the country’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: Sarnaghbyur | Statement: [Shirak Province, containsVillage, Sarnaghbyur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarnaghbyur Context triple: [Shirak Province, containsVillage, Sarnaghbyur]
-
A.
Vikarbyrgi
Vikarbyrgi is a small, remote village on the southern Faroese island of Suðuroy, known for its dramatic coastal scenery and sparse population.
-
B.
Mikladalur
Mikladalur is a small coastal village on the Faroe Islands known for its dramatic cliffs, traditional turf-roofed houses, and the famous Kópakonan (Seal Woman) statue.
-
C.
Sæbraut
Sæbraut is a coastal road in Reykjavík, Iceland, known for its scenic waterfront views and public artworks along the shoreline.
-
D.
Güímar
Güímar is a municipality on the eastern coast of Tenerife in Spain’s Canary Islands, known for its agricultural landscape and the archaeological site of the Pyramids of Güímar.
-
E.
Hunoldstal
Hunoldstal is a small district or locality within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
- 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: Sarnaghbyur Triple: [Shirak Province, containsVillage, Sarnaghbyur]
Generated description
Sarnaghbyur is a village in northwestern Armenia known for its location within the country’s Shirak Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarnaghbyur Target entity description: Sarnaghbyur is a village in northwestern Armenia known for its location within the country’s Shirak Province.
-
A.
Vikarbyrgi
Vikarbyrgi is a small, remote village on the southern Faroese island of Suðuroy, known for its dramatic coastal scenery and sparse population.
-
B.
Mikladalur
Mikladalur is a small coastal village on the Faroe Islands known for its dramatic cliffs, traditional turf-roofed houses, and the famous Kópakonan (Seal Woman) statue.
-
C.
Sæbraut
Sæbraut is a coastal road in Reykjavík, Iceland, known for its scenic waterfront views and public artworks along the shoreline.
-
D.
Güímar
Güímar is a municipality on the eastern coast of Tenerife in Spain’s Canary Islands, known for its agricultural landscape and the archaeological site of the Pyramids of Güímar.
-
E.
Hunoldstal
Hunoldstal is a small district or locality within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
- 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_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_69f6557e6d4c81909ed54a039e92a160 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566f40c08190baec227fb660c948 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aec8fc8190b3b08ccb95595958 |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.