Triple
T2220470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogooué River |
E48127
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Ndjolé
Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
|
E249100
|
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: Ndjolé | Statement: [Ogooué River, passesNear, Ndjolé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndjolé Context triple: [Ogooué River, passesNear, Ndjolé]
-
A.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Lelekou
Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
-
D.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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: Ndjolé Triple: [Ogooué River, passesNear, Ndjolé]
Generated description
Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ndjolé Target entity description: Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
-
A.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Lelekou
Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
-
D.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc01386588190a9507f2969a201ca |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6afc6dd881909dd51d8a18ab4c74 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6ef1de2881908c7967c52b5c9db8 |
completed | March 9, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6f4281508190b9e00155a3a68773 |
completed | March 9, 2026, 6:57 a.m. |
Created at: March 4, 2026, 7:46 p.m.