Triple
T2765856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Campus |
E61334
|
entity |
| Predicate | relocationOfTeachingCompleted |
P43013
|
FINISHED |
| Object | around 2017 |
—
|
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: around 2017 | Statement: [Queen’s Campus, relocationOfTeachingCompleted, around 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relocationOfTeachingCompleted Context triple: [Queen’s Campus, relocationOfTeachingCompleted, around 2017]
-
A.
relocatedDuring
Indicates that an entity changed its location or place of residence within the time span of a specified event or period.
-
B.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
C.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
firstTaughtAt
Indicates the institution or place where an entity (typically a person) began their teaching career or taught for the first time.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.