Triple
T15216471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bybanen |
E363648
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Lagunen
Lagunen is a major light rail terminus and commercial hub in Bergen, Norway, serving the city's Bybanen system and the surrounding suburban area.
|
E1147629
|
NE FINISHED |
How this triple was built (4 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: Lagunen | Statement: [Bybanen, terminus, Lagunen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagunen Context triple: [Bybanen, terminus, Lagunen]
-
A.
Lagus
Lagus was a Macedonian nobleman traditionally regarded as the father of Ptolemy I Soter, the founder of Egypt’s Ptolemaic dynasty.
-
B.
Lagunna
Lagunna is a titled chief within the Oyo Mesi, the council of kingmakers and principal nobles in the traditional Oyo Yoruba political system.
-
C.
Taguines Lagoon
Taguines Lagoon is a scenic coastal lagoon and popular eco-tourism spot on Camiguin Island in the Philippines, known for its calm waters, aquaculture facilities, and surrounding natural views.
-
D.
Lagoa
Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
-
E.
Lagoa
Lagoa is an affluent lakeside neighborhood in Rio de Janeiro, Brazil, known for its scenic Rodrigo de Freitas Lagoon, upscale residential areas, and recreational waterfront paths.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lagunen Triple: [Bybanen, terminus, Lagunen]
Generated description
Lagunen is a major light rail terminus and commercial hub in Bergen, Norway, serving the city's Bybanen system and the surrounding suburban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagunen Target entity description: Lagunen is a major light rail terminus and commercial hub in Bergen, Norway, serving the city's Bybanen system and the surrounding suburban area.
-
A.
Lagus
Lagus was a Macedonian nobleman traditionally regarded as the father of Ptolemy I Soter, the founder of Egypt’s Ptolemaic dynasty.
-
B.
Lagunna
Lagunna is a titled chief within the Oyo Mesi, the council of kingmakers and principal nobles in the traditional Oyo Yoruba political system.
-
C.
Taguines Lagoon
Taguines Lagoon is a scenic coastal lagoon and popular eco-tourism spot on Camiguin Island in the Philippines, known for its calm waters, aquaculture facilities, and surrounding natural views.
-
D.
Lagoa
Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
-
E.
Lagoa
Lagoa is an affluent lakeside neighborhood in Rio de Janeiro, Brazil, known for its scenic Rodrigo de Freitas Lagoon, upscale residential areas, and recreational waterfront paths.
- F. None of above. chosen
Provenance (5 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5ebb8d48190b4afc540da8e6a4b |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee76c54dc8190b6f4231b7f9880b0 |
completed | May 9, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feeb7fbc9c8190a8d08b03347ed2b2 |
completed | May 9, 2026, 8:08 a.m. |
Created at: April 10, 2026, 3:11 a.m.