Triple
T31954160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagos incident |
E815858
|
entity |
| Predicate | consequenceForWakanda |
P812
|
FINISHED |
| Object | increased Wakandan concern about Avengers |
—
|
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: increased Wakandan concern about Avengers | Statement: [Lagos incident, consequenceForWakanda, increased Wakandan concern about Avengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForWakanda Context triple: [Lagos incident, consequenceForWakanda, increased Wakandan concern about Avengers]
-
A.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
B.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
-
C.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
D.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
-
E.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 12:08 a.m.