Triple
T27874725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal Harbour, British Columbia |
E704895
|
entity |
| Predicate | nearFirstNationsTerritory |
P163246
|
FINISHED |
| Object | Quatsino First Nation |
—
|
NE NERFINISHED |
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: Quatsino First Nation | Statement: [Coal Harbour, British Columbia, nearFirstNationsTerritory, Quatsino First Nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearFirstNationsTerritory Context triple: [Coal Harbour, British Columbia, nearFirstNationsTerritory, Quatsino First Nation]
-
A.
nearFormerBorderWith
Indicates that one entity is located close to where the former border or boundary with another entity used to be.
-
B.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
-
C.
nearDetectorCountry
Indicates that the subject entity is geographically close to the country where the detector is located.
-
D.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
-
E.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
- F. None of above. chosen
Provenance (4 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6397e95908190bae6cfcd65e3fc20 |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 6:26 p.m.