Triple
T15216470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bybanen |
E363648
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Nesttun
Nesttun is a neighborhood and commercial center in the Fana borough of Bergen, Norway, serving as an important local transport hub.
|
E1143506
|
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: Nesttun | Statement: [Bybanen, terminus, Nesttun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesttun Context triple: [Bybanen, terminus, Nesttun]
-
A.
Nannfeldt
Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
-
B.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
C.
Nieste
Nieste is a small settlement located within Germany's historic Westphalia region.
-
D.
Nurn
Nurn is a fertile, southern region of Mordor in J.R.R. Tolkien’s Middle-earth, known for its great inland sea and farmlands worked by slaves to provision Sauron’s armies.
-
E.
Neltume
Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
- 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: Nesttun Triple: [Bybanen, terminus, Nesttun]
Generated description
Nesttun is a neighborhood and commercial center in the Fana borough of Bergen, Norway, serving as an important local transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nesttun Target entity description: Nesttun is a neighborhood and commercial center in the Fana borough of Bergen, Norway, serving as an important local transport hub.
-
A.
Nannfeldt
Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
-
B.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
C.
Nieste
Nieste is a small settlement located within Germany's historic Westphalia region.
-
D.
Nurn
Nurn is a fertile, southern region of Mordor in J.R.R. Tolkien’s Middle-earth, known for its great inland sea and farmlands worked by slaves to provision Sauron’s armies.
-
E.
Neltume
Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
- 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_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:11 a.m.