Triple
T18163046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardap Region |
E434815
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Aranos
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap Region.
|
E1309356
|
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: Aranos | Statement: [Hardap Region, hasSettlement, Aranos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aranos Context triple: [Hardap Region, hasSettlement, Aranos]
-
A.
Aranoch
Aranoch is a vast desert region in the Diablo universe, known for its harsh climate, ancient ruins, and cities like Lut Gholein.
-
B.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
-
C.
Ranon
Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
D.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
E.
Araniko
Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
- 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: Aranos Triple: [Hardap Region, hasSettlement, Aranos]
Generated description
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aranos Target entity description: Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap Region.
-
A.
Aranoch
Aranoch is a vast desert region in the Diablo universe, known for its harsh climate, ancient ruins, and cities like Lut Gholein.
-
B.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
-
C.
Ranon
Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
D.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
E.
Araniko
Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec419788190a999a68f32fab39b |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc25f248190a9ac02acf968069f |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03908bd80081909f993408c7d2c96b |
completed | May 12, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0390ebaed08190aea8a646e07cb1c4 |
completed | May 12, 2026, 8:43 p.m. |
Created at: April 10, 2026, 10:30 a.m.