Triple
T4062052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matterhorn Gotthard Bahn |
E86234
|
entity |
| Predicate | routeTerminus |
P388
|
FINISHED |
| Object | Brig |
E145812
|
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: Brig | Statement: [Matterhorn Gotthard Bahn, routeTerminus, Brig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brig Context triple: [Matterhorn Gotthard Bahn, routeTerminus, Brig]
-
A.
Brig
chosen
Brig is a historic Swiss town in the canton of Valais, known as a regional transport hub and gateway to the surrounding Alpine passes.
-
B.
Bluejacket
Bluejacket is the nickname and mascot representing the athletic teams and student body of Hibbing High School in Minnesota.
-
C.
Vessel
Vessel is a honeycomb-like, climbable public art structure and landmark in New York City’s Hudson Yards development.
-
D.
Bulwark
Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
-
E.
High Seas Fleet
The High Seas Fleet was the main battle fleet of the Imperial German Navy during World War I, best known for its clashes with the British Royal Navy, including the Battle of Jutland.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd60cc081908764fcc8206bc1ef |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b52e31c819099f9d354c197cf00 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:38 p.m.