Triple
T12580138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Taunusanlage station |
E300312
|
entity |
| Predicate | hasEntranceAt |
P1974
|
FINISHED |
| Object | Taunusanlage |
E991032
|
NE 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: Taunusanlage | Statement: [Frankfurt Taunusanlage station, hasEntranceAt, Taunusanlage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taunusanlage Context triple: [Frankfurt Taunusanlage station, hasEntranceAt, Taunusanlage]
-
A.
Taman
Taman is a Nilo-Saharan language spoken by the Taman people in parts of Chad and Sudan.
-
B.
Teteoinan
Teteoinan is an Aztec mother goddess associated with the earth, fertility, and the creation of the gods.
-
C.
Okertalsperre
Okertalsperre is a large reservoir and dam complex in Germany’s Harz Mountains, used for hydroelectric power generation, flood control, and recreation.
-
D.
Gallusanlage
chosen
Gallusanlage is a green park and street area in central Frankfurt am Main, Germany, forming part of the city’s historic ramparts and business district surroundings.
-
E.
Ušće park
Ušće park is a large riverside public park in Belgrade, Serbia, known for its open green spaces, recreational areas, and frequent cultural and music events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebab65081908a174586f0ebb16f |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:01 p.m.