Triple
T16544705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troistorrents |
E401911
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Troistorrents |
E401911
|
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: Troistorrents | Statement: [Troistorrents, hasLocalName, Troistorrents]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troistorrents Context triple: [Troistorrents, hasLocalName, Troistorrents]
-
A.
Troistorrents
chosen
Troistorrents is a municipality in the district of Monthey in the canton of Valais in southwestern Switzerland, known for its Alpine setting and proximity to ski resorts.
-
B.
HDtracks
HDtracks is a high-resolution digital music download store known for offering audiophile-quality albums in lossless formats.
-
C.
SVT Play
SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
-
D.
Vudu
Vudu is a digital video-on-demand and streaming service that offers movie and TV rentals, purchases, and ad-supported viewing.
-
E.
Vudu
Vudu is a music producer known for working on tracks such as those by The Red Light District.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed9fa988190892ca20939080f5f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.