Triple
T6859615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batavian Island |
E158239
|
entity |
| Predicate | ethnicGroupCategoryOfInhabitants |
P14216
|
FINISHED |
| Object | Germanic tribe |
—
|
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: Germanic tribe | Statement: [Batavian Island, ethnicGroupCategoryOfInhabitants, Germanic tribe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupCategoryOfInhabitants Context triple: [Batavian Island, ethnicGroupCategoryOfInhabitants, Germanic tribe]
-
A.
ethnicGroupOfCountry
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
B.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
D.
ethnicCategoryIn
chosen
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
-
E.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.