Triple
T9317479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rupert Harbour |
E224159
|
entity |
| Predicate | hasNearbyFirstNationsCommunity |
P4647
|
FINISHED |
| Object | Tsimshian traditional territory |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Tsimshian traditional territory | Statement: [Prince Rupert Harbour, hasNearbyFirstNationsCommunity, Tsimshian traditional territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyFirstNationsCommunity Context triple: [Prince Rupert Harbour, hasNearbyFirstNationsCommunity, Tsimshian traditional territory]
-
A.
hasNearbyCommunity
chosen
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
B.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
C.
hasRemoteCommunities
Indicates that an entity maintains or is associated with communities located in distant or geographically isolated areas.
-
D.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
-
E.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
- F. None of above.
Provenance (3 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.