Triple
T16482075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chur–Rorschach railway line |
E400344
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Rorschach |
E667595
|
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: Rorschach | Statement: [Chur–Rorschach railway line, terminus, Rorschach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rorschach Context triple: [Chur–Rorschach railway line, terminus, Rorschach]
-
A.
Rorschach
Rorschach is a masked vigilante antihero from the Watchmen universe, known for his uncompromising moral absolutism and inkblot-patterned mask.
-
B.
Rorschach
chosen
Rorschach is a Swiss lakeside town in the canton of St. Gallen, known for its historic harbor and location on the southern shore of Lake Constance.
-
C.
The Madman
The Madman is a collection of poetic parables and philosophical prose pieces by Kahlil Gibran that explores themes of individuality, spirituality, and the nature of truth.
-
D.
Madman
Madman is a quirky, retro-styled comic book superhero created by Mike Allred, known for his existential adventures, pop-art visuals, and offbeat blend of action and surreal humor.
-
E.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581ebe888190a331974473f1be1a |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.