Triple
T34520617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Bank of Nigeria |
E886266
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
FirstBank Republic of Congo
FirstBank Republic of Congo is a Congolese commercial banking subsidiary of First Bank of Nigeria, offering retail and corporate financial services in the Republic of Congo.
|
E2099563
|
NE FINISHED |
How this triple was built (2 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: FirstBank Republic of Congo | Statement: [First Bank of Nigeria, hasSubsidiary, FirstBank Republic of Congo]
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: FirstBank Republic of Congo Triple: [First Bank of Nigeria, hasSubsidiary, FirstBank Republic of Congo]
Generated description
FirstBank Republic of Congo is a Congolese commercial banking subsidiary of First Bank of Nigeria, offering retail and corporate financial services in the Republic of Congo.
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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3729e346ac8190b8ea504960f37807 |
completed | June 21, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_6a372ada69c08190984c1a7ce673107b |
completed | June 21, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a372b555c00819093247e37c60d8a31 |
completed | June 21, 2026, 12:07 a.m. |
Created at: May 1, 2026, 2:02 a.m.