Triple
T37393204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müngsten Bridge |
E928774
|
entity |
| Predicate | isHighestRailwayBridgeIn |
P188026
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Müngsten Bridge, isHighestRailwayBridgeIn, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHighestRailwayBridgeIn Context triple: [Müngsten Bridge, isHighestRailwayBridgeIn, Germany]
-
A.
wasWorldsHighestBridgeFrom
Indicates that a bridge held the record as the world’s highest bridge starting from a specified time or date.
-
B.
wasWorldsHighestBridgeUntil
Indicates that a bridge held the record as the highest bridge in the world until a specified later time or event.
-
C.
isOldestSurvivingBridgeAcross
Indicates that a bridge is the most ancient still-existing bridge that spans a specified waterway, road, or gap.
-
D.
suspensionBridgeHeight
Indicates the vertical distance or elevation of a suspension bridge, typically measured from a reference point such as the ground, water surface, or deck.
-
E.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.