Triple

T37767651

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lagos Kingdom	`E941458`	entity
Predicate	event	`P1664`	FINISHED
Object	Bombardment of Lagos The Bombardment of Lagos was an 1851 British naval attack on the Kingdom of Lagos that aimed to depose its ruler and secure control over the strategic West African port, contributing to the expansion of British colonial influence in the region.	`E2242573`	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: Bombardment of Lagos | Statement: [Lagos Kingdom, event, Bombardment of Lagos]

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: Bombardment of Lagos
Triple: [Lagos Kingdom, event, Bombardment of Lagos]

Generated description

The Bombardment of Lagos was an 1851 British naval attack on the Kingdom of Lagos that aimed to depose its ruler and secure control over the strategic West African port, contributing to the expansion of British colonial influence in the region.

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_69f76ee3251881909bb4451aad50752b`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fbaf1b9fa48190b1f015c13060f925`	completed	May 6, 2026, 9:14 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40e08792e0819094f569aa8e752154`	completed	June 28, 2026, 8:51 a.m.
NEDg	Description generation	`batch_6a40e18eefc88190ba28efc92a9fc5fa`	completed	June 28, 2026, 8:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40e5eb251881909402d2376b2317f2`	completed	June 28, 2026, 9:14 a.m.

Created at: May 3, 2026, 4:19 p.m.