Triple
T4726318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanganyika |
E104892
|
entity |
| Predicate | flagUsedUntil |
P6544
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Tanganyika, flagUsedUntil, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagUsedUntil Context triple: [Tanganyika, flagUsedUntil, 1964]
-
A.
flagUsedBy
Indicates that a particular flag is officially used by a specified entity, such as a country, organization, or group.
-
B.
flagUsedIn
Indicates that a particular flag is employed or referenced within a given context, such as a program, configuration, or process.
-
C.
usedUntil
chosen
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
-
D.
flag
Indicates that one entity marks, signals, or draws attention to another entity, often to denote status, importance, or the need for review or action.
-
E.
usedMark
Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.