Triple
T679430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Liverpool |
E13148
|
entity |
| Predicate | gainedRoyalCharterAsUniversityIn |
P4010
|
FINISHED |
| Object | 1903 |
—
|
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: 1903 | Statement: [University of Liverpool, gainedRoyalCharterAsUniversityIn, 1903]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedRoyalCharterAsUniversityIn Context triple: [University of Liverpool, gainedRoyalCharterAsUniversityIn, 1903]
-
A.
hasRoyalCharter
chosen
Indicates that an entity has been formally granted a royal charter by a monarch or royal authority.
-
B.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
isAmongOldestUniversitiesIn
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
E.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.