Triple
T4672384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence of Tanganyika |
E103593
|
entity |
| Predicate | flagChange |
P13888
|
FINISHED |
| Object | adoption of national flag of Tanganyika |
—
|
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: adoption of national flag of Tanganyika | Statement: [Independence of Tanganyika, flagChange, adoption of national flag of Tanganyika]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagChange Context triple: [Independence of Tanganyika, flagChange, adoption of national flag of Tanganyika]
-
A.
frontLineChange
Indicates a change in the position or configuration of the primary boundary or leading edge between opposing sides.
-
B.
statusChange
Indicates a transition in an entity’s state or condition from one status to another over time.
-
C.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
D.
borderChange
Indicates a change in the boundaries between geographic or political entities, such as when borders are redrawn, expanded, reduced, or otherwise altered over time.
-
E.
notableChange
chosen
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.