Triple
T34951686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibini Ukpabi shrine |
E1008014
|
entity |
| Predicate | consequenceOfRelatedEvent |
P812
|
FINISHED |
| Object | partial destruction by British forces |
—
|
LITERAL 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: partial destruction by British forces | Statement: [Ibini Ukpabi shrine, consequenceOfRelatedEvent, partial destruction by British forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfRelatedEvent Context triple: [Ibini Ukpabi shrine, consequenceOfRelatedEvent, partial destruction by British forces]
-
A.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
B.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
-
C.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
D.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
E.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
- F. None of above.
Provenance (3 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4 p.m.