Triple
T5290590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENGM |
E119730
|
entity |
| Predicate | railOperator |
P522
|
FINISHED |
| Object | Flytoget |
E119736
|
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: Flytoget | Statement: [ENGM, railOperator, Flytoget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flytoget Context triple: [ENGM, railOperator, Flytoget]
-
A.
Flytoget
chosen
Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
-
B.
Saas-Grund
Saas-Grund is a Swiss alpine village and municipality in the canton of Valais, known as a gateway to the Saas Valley ski and hiking region.
-
C.
Redfin
Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
-
D.
Häuser
Häuser is a photographic series by German artist Thomas Ruff featuring large-format, deadpan images of suburban and urban building facades that explore architecture, anonymity, and the nature of photographic representation.
-
E.
Social House
Social House is an American pop and hip-hop production and songwriting duo known for their work with major artists like Ariana Grande as well as their own releases.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f066988190a3df7e270df84fdd |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.