Triple
T10873570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B1 national road |
E256716
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Mariental
Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
|
E890077
|
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: Mariental | Statement: [B1 national road, connectsTo, Mariental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariental Context triple: [B1 national road, connectsTo, Mariental]
-
A.
Adelaida
Adelaida is a central female character in Alejo Carpentier’s novel "Los pasos perdidos," representing the protagonist’s refined, urban wife and the life of modern civilization he struggles to leave behind.
-
B.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
Marchena
Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
-
E.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
- 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: Mariental Triple: [B1 national road, connectsTo, Mariental]
Generated description
Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariental Target entity description: Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
-
A.
Adelaida
Adelaida is a central female character in Alejo Carpentier’s novel "Los pasos perdidos," representing the protagonist’s refined, urban wife and the life of modern civilization he struggles to leave behind.
-
B.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
Marchena
Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
-
E.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ddafc48190824c133bb33b9efe |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e0026fda3c8190b60174b252d57e12 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e00581fde08190b28b8dde4a21d59e |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.