Triple
T14047830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunga River (Kafue tributary) |
E338004
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Lunga (local place name)
Lunga is a local place name in Zambia associated with the Lunga River, a tributary of the Kafue River.
|
E1076197
|
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: Lunga (local place name) | Statement: [Lunga River (Kafue tributary), namedAfter, Lunga (local place name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunga (local place name) Context triple: [Lunga River (Kafue tributary), namedAfter, Lunga (local place name)]
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Loenga
Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
-
C.
Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
-
D.
Longo
Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
-
E.
Melonguane
Melonguane is a coastal town in North Sulawesi, Indonesia, serving as the main administrative and economic center of the remote Talaud Islands near the Philippine border.
- 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: Lunga (local place name) Triple: [Lunga River (Kafue tributary), namedAfter, Lunga (local place name)]
Generated description
Lunga is a local place name in Zambia associated with the Lunga River, a tributary of the Kafue River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lunga (local place name) Target entity description: Lunga is a local place name in Zambia associated with the Lunga River, a tributary of the Kafue River.
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Loenga
Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
-
C.
Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
-
D.
Longo
Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
-
E.
Melonguane
Melonguane is a coastal town in North Sulawesi, Indonesia, serving as the main administrative and economic center of the remote Talaud Islands near the Philippine border.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34332448190b044f55f0f85d5e2 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc43623d608190bee3ebd08ffa01e6 |
completed | May 7, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc43e71f708190903a63388b664ba5 |
completed | May 7, 2026, 7:48 a.m. |
Created at: April 9, 2026, 10:20 p.m.