Triple
T12506237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligerz–Prêles funicular |
E298954
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Ligerz station |
E298952
|
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: Ligerz station | Statement: [Ligerz–Prêles funicular, hasStation, Ligerz station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ligerz station Context triple: [Ligerz–Prêles funicular, hasStation, Ligerz station]
-
A.
Ligerz railway station
chosen
Ligerz railway station is a small Swiss railway stop serving the village of Ligerz on the shores of Lake Biel in the canton of Bern.
-
B.
Chelas station
Chelas station is a Lisbon Metro underground station serving the Chelas neighborhood on the system’s Red Line.
-
C.
Paulina station
Paulina station is an elevated Chicago 'L' rapid transit stop in the Lakeview neighborhood, served by the Brown Line.
-
D.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
E.
Lichtenberg station
Lichtenberg station is a major railway and transport hub in the Lichtenberg district of Berlin, Germany, serving regional, long-distance, and urban transit lines.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557243788190854208113600324e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.