Triple
T1764328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenberg |
E38727
|
entity |
| Predicate | capitalOfContainingCity |
P27429
|
FINISHED |
| Object | Berlin is the capital of Germany |
—
|
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: Berlin is the capital of Germany | Statement: [Lichtenberg, capitalOfContainingCity, Berlin is the capital of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfContainingCity Context triple: [Lichtenberg, capitalOfContainingCity, Berlin is the capital of Germany]
-
A.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
B.
containsCapitalOf
chosen
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
C.
capitalCityInvolved
Indicates that a capital city participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
D.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
E.
capitalCityOfRegion
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.