Triple
T35822090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pointe-à-la-Croix, Quebec |
E1035530
|
entity |
| Predicate | hasCoastalRelation |
P212
|
FINISHED |
| Object | near Gulf of St. Lawrence |
—
|
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: near Gulf of St. Lawrence | Statement: [Pointe-à-la-Croix, Quebec, hasCoastalRelation, near Gulf of St. Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastalRelation Context triple: [Pointe-à-la-Croix, Quebec, hasCoastalRelation, near Gulf of St. Lawrence]
-
A.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
B.
hasCoastalAdjacentArea
Indicates that one area directly borders or is immediately next to a coastal zone.
-
C.
hasCoastlineType
Indicates the specific nature or classification of the coastline associated with a geographic entity.
-
D.
hasCoastlineOn
chosen
Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
-
E.
hasCoastalRegion
Indicates that a place possesses at least one region that borders or is directly adjacent to a sea or ocean.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.