Triple
T1427046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walvis Bay |
E30355
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Swakopmund
Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
|
E171457
|
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: Swakopmund | Statement: [Walvis Bay, nearbyCity, Swakopmund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swakopmund Context triple: [Walvis Bay, nearbyCity, Swakopmund]
-
A.
Lüderitz
Lüderitz is a coastal town in southwestern Namibia known for its Atlantic shoreline, nearby desert landscapes, and rich marine ecosystem influenced by the Benguela Current.
-
B.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
C.
Oudenhoorn
Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
D.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
E.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
- 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: Swakopmund Triple: [Walvis Bay, nearbyCity, Swakopmund]
Generated description
Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swakopmund Target entity description: Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
-
A.
Lüderitz
Lüderitz is a coastal town in southwestern Namibia known for its Atlantic shoreline, nearby desert landscapes, and rich marine ecosystem influenced by the Benguela Current.
-
B.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
C.
Oudenhoorn
Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
D.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
E.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bfc79481908d370ec839ddbd9f |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c9999b0819086573fb974952f63 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1f2071708190931a1f3cd35002d6 |
completed | March 8, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2141e5f48190a34021b7b3c2a252 |
completed | March 8, 2026, 7:12 a.m. |
Created at: March 1, 2026, 8 p.m.