Triple
T3687735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tysfjord |
E78264
|
entity |
| Predicate | hasSettlementOnShore |
P16159
|
FINISHED |
| Object |
Drag
Drag is a small coastal village in Nordland county, Norway, known for its scenic fjord-side location and proximity to the Tysfjord.
|
E380412
|
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: Drag | Statement: [Tysfjord, hasSettlementOnShore, Drag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drag Context triple: [Tysfjord, hasSettlementOnShore, Drag]
-
A.
Drag-On
Drag-On is an American rapper best known for his work with DMX and the Ruff Ryders collective in the late 1990s and early 2000s.
-
B.
Grab
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
C.
DRO
DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
-
D.
Drift
"Drift" is a song performed by American singer and actress Blake Perlman, known for its atmospheric, cinematic style.
-
E.
Drop
"Drop" is an R&B song by the sister duo Chloe x Halle that helped introduce their atmospheric, harmony-rich sound to a wider audience.
- 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: Drag Triple: [Tysfjord, hasSettlementOnShore, Drag]
Generated description
Drag is a small coastal village in Nordland county, Norway, known for its scenic fjord-side location and proximity to the Tysfjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drag Target entity description: Drag is a small coastal village in Nordland county, Norway, known for its scenic fjord-side location and proximity to the Tysfjord.
-
A.
Drag-On
Drag-On is an American rapper best known for his work with DMX and the Ruff Ryders collective in the late 1990s and early 2000s.
-
B.
Grab
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
C.
DRO
DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
-
D.
Drift
"Drift" is a song performed by American singer and actress Blake Perlman, known for its atmospheric, cinematic style.
-
E.
Drop
"Drop" is an R&B song by the sister duo Chloe x Halle that helped introduce their atmospheric, harmony-rich sound to a wider audience.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7bd861c8190a1a7887f6d7fd6de |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c83085488190a48c6e4786d275e2 |
completed | March 14, 2026, 2:30 a.m. |
Created at: March 8, 2026, 3:26 p.m.