Triple
T5313017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugby railway station |
E119078
|
entity |
| Predicate | railcode |
P27071
|
FINISHED |
| Object | RUG |
E95462
|
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: RUG | Statement: [Rugby railway station, railcode, RUG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RUG Context triple: [Rugby railway station, railcode, RUG]
-
A.
RUG
chosen
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
-
B.
RIG
RIG is the standard abbreviation used for the Latvian professional ice hockey club Dinamo Riga.
-
C.
Rosstrappe
Rosstrappe is a prominent granite rock formation and popular viewpoint in Germany's Harz Mountains, known for its dramatic cliffs and associated legends.
-
D.
RUMSK
RUMSK is the abbreviation for the Rutgers University Marching Scarlet Knights, the official marching band of Rutgers University known for performing at athletic events and university ceremonies.
-
E.
Raus
Raus is a German-language surname most notably associated with Erhard Raus, a high-ranking Wehrmacht general during World War II.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8536c06c81908ef8ba8c39b4fa30 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1106ef9c8190811f7b70e784c962 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:54 p.m.