Triple
T33428499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daly Medal |
E856055
|
entity |
| Predicate | hasAwardingInstitutionHeadquartersIn |
P55027
|
FINISHED |
| Object | London |
—
|
NE NERFINISHED |
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: London | Statement: [Daly Medal, hasAwardingInstitutionHeadquartersIn, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardingInstitutionHeadquartersIn Context triple: [Daly Medal, hasAwardingInstitutionHeadquartersIn, London]
-
A.
hasAwardingBodyHeadquarters
chosen
Indicates that an awarding body has its main headquarters located at a specific place.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
D.
isAbroadCampusOf
Indicates that one campus is a geographically separate, foreign-location branch of a primary institution or main campus.
-
E.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.