Triple
T3513476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wapusk National Park |
E74250
|
entity |
| Predicate | nearestCommunity |
P350
|
FINISHED |
| Object |
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
|
E366383
|
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: Gillam | Statement: [Wapusk National Park, nearestCommunity, Gillam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillam Context triple: [Wapusk National Park, nearestCommunity, Gillam]
-
A.
Gabrielino
Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
-
B.
Gill
Gill is a scarred, tough-but-caring Moorish idol fish from Disney-Pixar’s Finding Nemo who mentors Nemo and leads escape plans in the dentist’s aquarium.
-
C.
Gill
Gill is a surname of English and Scottish origin borne by numerous notable individuals across various fields.
-
D.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
E.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
- 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: Gillam Triple: [Wapusk National Park, nearestCommunity, Gillam]
Generated description
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gillam Target entity description: Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
A.
Gabrielino
Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
-
B.
Gill
Gill is a scarred, tough-but-caring Moorish idol fish from Disney-Pixar’s Finding Nemo who mentors Nemo and leads escape plans in the dentist’s aquarium.
-
C.
Gill
Gill is a surname of English and Scottish origin borne by numerous notable individuals across various fields.
-
D.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
E.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2d0bf481909d1f19a87d147b63 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e76c3a08190831402ff0c680196 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b38232467c81909eb831bb0747cb77 |
completed | March 13, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b385f078d48190a72e61c59aa27e43 |
completed | March 13, 2026, 3:35 a.m. |
Created at: March 8, 2026, 3:19 p.m.