Triple
T17364233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeastern Azerbaijan |
E422145
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lerik
Lerik is a small mountainous city in southern Azerbaijan, known for its lush forests, cool climate, and reputation for residents with exceptional longevity.
|
E1266302
|
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: Lerik | Statement: [Southeastern Azerbaijan, hasCity, Lerik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerik Context triple: [Southeastern Azerbaijan, hasCity, Lerik]
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
C.
Trosa
Trosa is a small coastal town in Södermanland County, Sweden, known for its picturesque wooden houses, harbor, and tourism.
-
D.
Sollefteå
Sollefteå is a small town in northern Sweden known for its scenic location along the Ångerman River and its surrounding forests and hills.
-
E.
Lysekil
Lysekil is a coastal town in western Sweden known for its picturesque archipelago, fishing heritage, and popular seaside tourism.
- 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: Lerik Triple: [Southeastern Azerbaijan, hasCity, Lerik]
Generated description
Lerik is a small mountainous city in southern Azerbaijan, known for its lush forests, cool climate, and reputation for residents with exceptional longevity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lerik Target entity description: Lerik is a small mountainous city in southern Azerbaijan, known for its lush forests, cool climate, and reputation for residents with exceptional longevity.
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
C.
Trosa
Trosa is a small coastal town in Södermanland County, Sweden, known for its picturesque wooden houses, harbor, and tourism.
-
D.
Sollefteå
Sollefteå is a small town in northern Sweden known for its scenic location along the Ångerman River and its surrounding forests and hills.
-
E.
Lysekil
Lysekil is a coastal town in western Sweden known for its picturesque archipelago, fishing heritage, and popular seaside tourism.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fed4ee88190bdbf3b31b3d5e3a0 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a089ac0081908a746c0c25cc12be |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1c415dc8190ba8f7e2a8053917f |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:44 a.m.