Triple
T18386310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darmstadt |
E446601
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | City of Science |
—
|
NE NERFINISHED |
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: City of Science | Statement: [Darmstadt, hasTitle, City of Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Science Context triple: [Darmstadt, hasTitle, City of Science]
-
A.
In the Name of Science
In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
-
B.
Stadt der Wissenschaften
chosen
Stadt der Wissenschaften is a nickname highlighting Göttingen’s long-standing reputation as a major German center of academic research and higher education.
-
C.
The City of the Future
The City of the Future is a progressive, rapidly developing urban center in the Philippines known for its emerging industries and modern infrastructure.
-
D.
Scientia
Scientia is a Latin word meaning "knowledge," commonly used in academic and scholarly mottos and contexts.
-
E.
Fragments of Science
Fragments of Science is a collection of popular scientific essays and lectures by physicist John Tyndall that helped introduce Victorian audiences to contemporary developments in physics and natural philosophy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a00c608190a8f0010c7b53df90 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:46 a.m.