Triple
T10703542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian Embassy in London |
E252339
|
entity |
| Predicate | nearbyEmbassyCluster |
P95369
|
FINISHED |
| Object | Embassy district around Hyde Park and Kensington Road |
—
|
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: Embassy district around Hyde Park and Kensington Road | Statement: [Iranian Embassy in London, nearbyEmbassyCluster, Embassy district around Hyde Park and Kensington Road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyEmbassyCluster Context triple: [Iranian Embassy in London, nearbyEmbassyCluster, Embassy district around Hyde Park and Kensington Road]
-
A.
nearbyInternationalOrganization
Indicates that one entity is located close in distance to an international organization.
-
B.
nearbyPoliticalEntity
Indicates that one political entity is geographically close to another political entity, without necessarily sharing a border.
-
C.
relationshipToEmbassy
Indicates the type of formal or personal connection an entity has with a specific embassy.
-
D.
governingBodyNearby
Indicates that a governing body is located in close physical proximity to the referenced entity or area.
-
E.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
- F. None of above. chosen
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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fdddf258819097b9fd26d68cd2e4 |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8ea6408190a800f9cb57372189 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:12 p.m.