Triple
T4733668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anseba |
E105070
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kerkebet
Kerkebet is a small town in the Anseba region of Eritrea.
|
E465405
|
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: Kerkebet | Statement: [Anseba, containsTown, Kerkebet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerkebet Context triple: [Anseba, containsTown, Kerkebet]
-
A.
Serooskerke
Serooskerke is a village in the Dutch province of Zeeland, known for its rural character and location on the former island of Walcheren.
-
B.
Kilbegnet
Kilbegnet is a rural parish in County Roscommon, Ireland, known historically as the birthplace of the first Catholic Bishop of New York, R. Luke Concanen.
-
C.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Keratea
Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
- 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: Kerkebet Triple: [Anseba, containsTown, Kerkebet]
Generated description
Kerkebet is a small town in the Anseba region of Eritrea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerkebet Target entity description: Kerkebet is a small town in the Anseba region of Eritrea.
-
A.
Serooskerke
Serooskerke is a village in the Dutch province of Zeeland, known for its rural character and location on the former island of Walcheren.
-
B.
Kilbegnet
Kilbegnet is a rural parish in County Roscommon, Ireland, known historically as the birthplace of the first Catholic Bishop of New York, R. Luke Concanen.
-
C.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Keratea
Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6467a1fc819089485b4d76e0edc4 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10acf7488190946b31f95114d459 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1502bbb4819094c27231dc6a9762 |
completed | March 21, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15ba6dac8190b37130ba0a9209c3 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:19 p.m.