Triple
T25191233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London |
E630875
|
entity |
| Predicate | financialDistrict |
P11841
|
FINISHED |
| Object | City of 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: City of London | Statement: [London, financialDistrict, City of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialDistrict Context triple: [London, financialDistrict, City of London]
-
A.
hasFinancialDistrict
chosen
Indicates that a place or city contains a designated area primarily devoted to financial and banking activities.
-
B.
hasBusinessDistrict
Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
-
C.
headquartersNeighborhood
Indicates that an organization’s main headquarters is located within a specific neighborhood.
-
D.
hasDistrictOnBanks
Indicates that a district is located along or adjacent to the banks of a river or similar water body.
-
E.
isDowntownCoreOf
Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e0f69b081908b72abcd18ab9c67 |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:45 p.m.