Triple
T33012328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Röthbachfall |
E844677
|
entity |
| Predicate | heightRankingInGermany |
P175911
|
FINISHED |
| Object | one of the highest waterfalls in 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: one of the highest waterfalls in Germany | Statement: [Röthbachfall, heightRankingInGermany, one of the highest waterfalls in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightRankingInGermany Context triple: [Röthbachfall, heightRankingInGermany, one of the highest waterfalls in Germany]
-
A.
rankWithinGermanStates
Indicates the relative position or standing of an entity compared to others within the set of German federal states.
-
B.
rankAmongGermanStates
Indicates the relative position or standing of a German state when ordered or compared to other German states by a specific criterion (such as size, population, or performance).
-
C.
rankInSwedenByHeight
Indicates the position an entity holds in an ordered list of entities in Sweden when sorted by their height.
-
D.
heightRankingInSwitzerland
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of Switzerland.
-
E.
rankingByHeightInIsrael
Indicates an ordering of entities based on their relative heights within the context of Israel.
- F. None of above. chosen
Provenance (4 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.