Triple
T9416026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubangi River |
E227021
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Zongo
Zongo is a town in the Democratic Republic of the Congo situated on the banks of the Ubangi River, opposite the Central African Republic’s capital, Bangui.
|
E798128
|
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: Zongo | Statement: [Ubangi River, passesNear, Zongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zongo Context triple: [Ubangi River, passesNear, Zongo]
-
A.
Cabira
Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
-
B.
Mpanda
Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
-
C.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
D.
Congo Town
Congo Town is a small settlement on South Andros in The Bahamas, known as a local administrative and transportation hub with its own regional airport.
-
E.
Congo Town
Congo Town is a coastal suburb of Monrovia in Liberia, known as a residential and commercial area within Montserrado County.
- 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: Zongo Triple: [Ubangi River, passesNear, Zongo]
Generated description
Zongo is a town in the Democratic Republic of the Congo situated on the banks of the Ubangi River, opposite the Central African Republic’s capital, Bangui.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zongo Target entity description: Zongo is a town in the Democratic Republic of the Congo situated on the banks of the Ubangi River, opposite the Central African Republic’s capital, Bangui.
-
A.
Cabira
Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
-
B.
Mpanda
Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
-
C.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
D.
Congo Town
Congo Town is a small settlement on South Andros in The Bahamas, known as a local administrative and transportation hub with its own regional airport.
-
E.
Congo Town
Congo Town is a coastal suburb of Monrovia in Liberia, known as a residential and commercial area within Montserrado County.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c9917481909f793a2a9efb2a75 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107baad74819090a746c06feb28ac |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108477df08190b529426b09eb6e5a |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108dbc1948190967c56ad877659cb |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:48 p.m.