Triple
T33023420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Brewers |
E844972
|
entity |
| Predicate | associatedWithCityInstitution |
P2227
|
FINISHED |
| Object | City of London Corporation |
E69096
|
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: City of London Corporation | Statement: [Worshipful Company of Brewers, associatedWithCityInstitution, City of London Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCityInstitution Context triple: [Worshipful Company of Brewers, associatedWithCityInstitution, City of London Corporation]
-
A.
associatedWithInstitution
chosen
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
B.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
C.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
D.
fieldAssociatedWithInstitution
Indicates that a particular field (such as a discipline, area of study, or professional domain) is associated with, belongs to, or is practiced within a specific institution.
-
E.
associatedWithCityFoundation
Indicates a relationship where an entity is connected to, involved in, or relevant to the founding or establishment of a particular city.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34dacca34081908f1e69b7aab8ffc7 |
completed | June 19, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:23 a.m.