Triple
T8882455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali Region |
E211442
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Wardher
Wardher is a town in eastern Ethiopia that serves as an important local center within the Somali Region.
|
E764246
|
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: Wardher | Statement: [Somali Region, containsCity, Wardher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wardher Context triple: [Somali Region, containsCity, Wardher]
-
A.
Warth
Warth is a small alpine village in western Austria known for its ski resort and connection to the Arlberg ski region.
-
B.
Wardie
Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
-
C.
Rowarth
Rowarth is a small rural village in the High Peak district of Derbyshire, England, known for its scenic countryside setting on the edge of the Peak District.
-
D.
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
E.
Wilk
Wilk was the wartime pseudonym of Aleksander Krzyżanowski, a Polish military officer and commander in the Home Army (Armia Krajowa) during World War II.
- 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: Wardher Triple: [Somali Region, containsCity, Wardher]
Generated description
Wardher is a town in eastern Ethiopia that serves as an important local center within the Somali Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wardher Target entity description: Wardher is a town in eastern Ethiopia that serves as an important local center within the Somali Region.
-
A.
Warth
Warth is a small alpine village in western Austria known for its ski resort and connection to the Arlberg ski region.
-
B.
Wardie
Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
-
C.
Rowarth
Rowarth is a small rural village in the High Peak district of Derbyshire, England, known for its scenic countryside setting on the edge of the Peak District.
-
D.
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
E.
Wilk
Wilk was the wartime pseudonym of Aleksander Krzyżanowski, a Polish military officer and commander in the Home Army (Armia Krajowa) during World War II.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.