Triple
T31134568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Nassau-Siegen |
E793604
|
entity |
| Predicate | hasPartitionHistory |
P15550
|
FINISHED |
| Object | partition of Nassau territories |
—
|
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: partition of Nassau territories | Statement: [Prince of Nassau-Siegen, hasPartitionHistory, partition of Nassau territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartitionHistory Context triple: [Prince of Nassau-Siegen, hasPartitionHistory, partition of Nassau territories]
-
A.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
B.
hasHistoricSegment
Indicates that an entity includes or is associated with a segment that has historical significance or originates from a past version or period.
-
C.
historicalPartitionPeriod
chosen
Indicates that an entity existed, occurred, or is relevant during a specific historical period of territorial partition.
-
D.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
E.
hasResourceHistory
Indicates that an entity is associated with a record or sequence of past states, usages, or changes of a particular resource over time.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:05 p.m.