Triple
T5250265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nass River |
E118568
|
entity |
| Predicate | hasIndigenousName |
P1435
|
FINISHED |
| Object |
Lisims
Lisims is the Indigenous Nisga’a name for the Nass River in northwestern British Columbia, Canada.
|
E506277
|
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: Lisims | Statement: [Nass River, hasIndigenousName, Lisims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisims Context triple: [Nass River, hasIndigenousName, Lisims]
-
A.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
B.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
C.
Lisses
Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
D.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
E.
Limbu
Limbu are an indigenous ethnic group from eastern Nepal and neighboring regions, known for their distinct language, culture, and traditions within the broader Kirati community.
- 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: Lisims Triple: [Nass River, hasIndigenousName, Lisims]
Generated description
Lisims is the Indigenous Nisga’a name for the Nass River in northwestern British Columbia, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisims Target entity description: Lisims is the Indigenous Nisga’a name for the Nass River in northwestern British Columbia, Canada.
-
A.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
B.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
C.
Lisses
Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
D.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
E.
Limbu
Limbu are an indigenous ethnic group from eastern Nepal and neighboring regions, known for their distinct language, culture, and traditions within the broader Kirati community.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe6cd9ac81909a97ff26d061746a |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff1e44388190a449cf364f750b8b |
completed | March 21, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beffb133208190a705629dfe6d3bbb |
completed | March 21, 2026, 8:29 p.m. |
Created at: March 20, 2026, 1:50 p.m.