Triple
T4116242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Berlin |
E90298
|
entity |
| Predicate | numberOfGermanFederalStates |
P244
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [State of Berlin, numberOfGermanFederalStates, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGermanFederalStates Context triple: [State of Berlin, numberOfGermanFederalStates, 16]
-
A.
rankWithinGermanStates
Indicates the relative position or standing of an entity compared to others within the set of German federal states.
-
B.
bordersGermanState
Indicates that one entity shares a land or maritime boundary directly with a German federal state.
-
C.
rankInGermanEmpireByArea
Indicates the ordinal position of an entity when all entities in the German Empire are ordered by their land area.
-
D.
numberOfStates
chosen
Indicates the total count of distinct states or conditions associated with an entity or system.
-
E.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.