Triple
T17754631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | medieval University of Cambridge |
E443200
|
entity |
| Predicate | experiencesConflictWith |
P72693
|
FINISHED |
| Object | townspeople of Cambridge |
—
|
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: townspeople of Cambridge | Statement: [medieval University of Cambridge, experiencesConflictWith, townspeople of Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experiencesConflictWith Context triple: [medieval University of Cambridge, experiencesConflictWith, townspeople of Cambridge]
-
A.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
facedConflictOver
chosen
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
-
D.
facesConflictWith
Indicates that one entity is in opposition, dispute, or contention with another, involving incompatible goals, interests, or actions.
-
E.
addressesConflictWithin
Indicates that one entity deals with, manages, or resolves a conflict that exists inside another entity or within its internal scope.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841da9988190b5efde3bbd3f24c3 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.