Triple
T10247141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estuaire Province |
E240244
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kango
Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
|
E853671
|
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: Kango | Statement: [Estuaire Province, contains, Kango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kango Context triple: [Estuaire Province, contains, Kango]
-
A.
Kangha
Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
-
B.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
-
C.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
D.
Kwayo
Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
-
E.
Kwangde
Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
- 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: Kango Triple: [Estuaire Province, contains, Kango]
Generated description
Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kango Target entity description: Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
-
A.
Kangha
Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
-
B.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
-
C.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
D.
Kwayo
Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
-
E.
Kwangde
Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fa303d4c8190b9f1c3addf7d8b09 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6ff301d488190b18f1e02bbf1dada |
completed | April 9, 2026, 1:21 a.m. |
Created at: April 6, 2026, 11:27 a.m.