Triple
T24668913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batteríið Architects |
E610768
|
entity |
| Predicate | coOperatedWith |
P21905
|
FINISHED |
| Object | Henning Larsen Architects |
—
|
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: Henning Larsen Architects | Statement: [Batteríið Architects, coOperatedWith, Henning Larsen Architects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coOperatedWith Context triple: [Batteríið Architects, coOperatedWith, Henning Larsen Architects]
-
A.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
B.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
C.
definesCooperationWith
Indicates that one entity formally specifies or establishes the terms, scope, or nature of cooperative interaction with another entity.
-
D.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
E.
coOperator
chosen
Indicates that two or more entities work together as partners or collaborators in performing an activity or achieving a shared objective.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:41 a.m.