Triple
T7219267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German East Africa |
E150213
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object |
Lindi
Lindi is a coastal town in present-day Tanzania that historically served as an important port in the former German East Africa colony.
|
E649662
|
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: Lindi | Statement: [German East Africa, majorPort, Lindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindi Context triple: [German East Africa, majorPort, Lindi]
-
A.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
-
B.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
-
C.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
D.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
E.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
- 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: Lindi Triple: [German East Africa, majorPort, Lindi]
Generated description
Lindi is a coastal town in present-day Tanzania that historically served as an important port in the former German East Africa colony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindi Target entity description: Lindi is a coastal town in present-day Tanzania that historically served as an important port in the former German East Africa colony.
-
A.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
-
B.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
-
C.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
D.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
E.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b1a7908190bd215ffb84592e32 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc014fb88190818e12b7abe90c0a |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7ccf3cd4c8190babc9e0e6b9f4371 |
completed | March 28, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd5cedd88190b72df89b068c4483 |
completed | March 28, 2026, 12:45 p.m. |
Created at: March 27, 2026, 2:53 p.m.