Triple
T33765531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond, Ontario |
E865216
|
entity |
| Predicate | originalSurveyedBy |
P62229
|
FINISHED |
| Object | Royal Engineers |
E8430
|
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: Royal Engineers | Statement: [Richmond, Ontario, originalSurveyedBy, Royal Engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSurveyedBy Context triple: [Richmond, Ontario, originalSurveyedBy, Royal Engineers]
-
A.
originalSurveyNameOf
Indicates that one entity is the original survey name associated with another survey-related entity (such as a version, copy, or derived survey).
-
B.
coSurveyedWith
chosen
Indicates that two or more entities participated together in the same survey activity or data-collection effort.
-
C.
surveyedFor
Indicates that one entity has been examined, questioned, or assessed in order to gather information specifically about another entity or topic.
-
D.
usesSurveyOf
Indicates that one entity bases its work, analysis, or decision on data or findings obtained from a particular survey conducted by another entity.
-
E.
surveyed
Indicates that one entity systematically examined, questioned, or measured another entity or group to gather information or assess a situation.
- F. None of above.
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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a036054129081909e66c5d62015e6c1 |
completed | May 12, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a365c9c95288190822da9a52c9de703 |
completed | June 20, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_6a035f17cbf88190acd6bdbfc9789ffb |
completed | May 12, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:45 a.m.