Triple
T8107026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppsala Central Station |
E189251
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object |
Dalabanan
Dalabanan is a Swedish railway line that connects Uppsala with the Dalarna region, serving as an important route for both passenger and regional traffic.
|
E734688
|
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: Dalabanan | Statement: [Uppsala Central Station, railwayLine, Dalabanan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalabanan Context triple: [Uppsala Central Station, railwayLine, Dalabanan]
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Dalaguete
Dalaguete is a coastal municipality in the province of Cebu in the Philippines, known for its cool highland areas and vegetable farming.
-
C.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
D.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- 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: Dalabanan Triple: [Uppsala Central Station, railwayLine, Dalabanan]
Generated description
Dalabanan is a Swedish railway line that connects Uppsala with the Dalarna region, serving as an important route for both passenger and regional traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalabanan Target entity description: Dalabanan is a Swedish railway line that connects Uppsala with the Dalarna region, serving as an important route for both passenger and regional traffic.
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Dalaguete
Dalaguete is a coastal municipality in the province of Cebu in the Philippines, known for its cool highland areas and vegetable farming.
-
C.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
D.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f89dd481908f1a25e4b16a8fc8 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1c8a492c8190bb17895127bb6a82 |
completed | April 2, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69ce204dabf08190be024eede40ba47d |
completed | April 2, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce20b0e238819086a88e5db6b3382f |
completed | April 2, 2026, 7:54 a.m. |
Created at: March 30, 2026, 5:31 p.m.