Triple
T14671195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria County, New Brunswick |
E344515
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Drummond |
E232031
|
NE 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: Drummond | Statement: [Victoria County, New Brunswick, hasSettlement, Drummond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drummond Context triple: [Victoria County, New Brunswick, hasSettlement, Drummond]
-
A.
Drummond
chosen
Drummond is a Scottish surname historically associated with several notable families and individuals in politics, nobility, and public life.
-
B.
Orlondo
Orlondo is a less common variant of the given name Orlando, typically used as a masculine first name.
-
C.
Domontois
Domontois is the French demonym referring to inhabitants of the commune of Domont in northern France.
-
D.
Laimbeer
Laimbeer is the surname of Bill Laimbeer, a former NBA center best known for his physical play with the Detroit Pistons' "Bad Boys" teams of the late 1980s and early 1990s.
-
E.
Tildon
Tildon is a less common variant of the given name Tilden, typically used as a masculine first name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ef2908190b189ced65eec434a |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17a39b88190b144b6cfcc61a4b8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.