Triple
T7303015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karas Region |
E167904
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Aroab
Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
|
E654907
|
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: Aroab | Statement: [Karas Region, containsTown, Aroab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aroab Context triple: [Karas Region, containsTown, Aroab]
-
A.
Aro
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
B.
Arosi
Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
E.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
- 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: Aroab Triple: [Karas Region, containsTown, Aroab]
Generated description
Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aroab Target entity description: Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
-
A.
Aro
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
B.
Arosi
Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
E.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6671e2c8190aed42aa673540efa |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6cd820881909ef8fd3bc28d2716 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 27, 2026, 3:01 p.m.