Triple
T10689378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardabil Province |
E251967
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Germi
Germi is a city in northwestern Iran known for its location in Ardabil Province near the border with the Republic of Azerbaijan.
|
E879214
|
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: Germi | Statement: [Ardabil Province, hasCity, Germi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germi Context triple: [Ardabil Province, hasCity, Germi]
-
A.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
B.
Germoe
Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
-
C.
Fermin
Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
-
D.
Gomerans
Gomerans are the inhabitants of La Gomera in Spain’s Canary Islands, known for preserving the traditional whistled language Silbo Gomero.
-
E.
Gipromez
Gipromez was a prominent Soviet industrial design institute known for planning and engineering major metallurgical and heavy industry facilities.
- 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: Germi Triple: [Ardabil Province, hasCity, Germi]
Generated description
Germi is a city in northwestern Iran known for its location in Ardabil Province near the border with the Republic of Azerbaijan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Germi Target entity description: Germi is a city in northwestern Iran known for its location in Ardabil Province near the border with the Republic of Azerbaijan.
-
A.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
B.
Germoe
Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
-
C.
Fermin
Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
-
D.
Gomerans
Gomerans are the inhabitants of La Gomera in Spain’s Canary Islands, known for preserving the traditional whistled language Silbo Gomero.
-
E.
Gipromez
Gipromez was a prominent Soviet industrial design institute known for planning and engineering major metallurgical and heavy industry facilities.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1aef888190ba92474af3a49e36 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988a59d6c8190a0e170acfb3af6da |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:11 p.m.