Triple
T22180909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmidt Hammer Lassen Architects |
E548164
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dokk1 |
—
|
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: Dokk1 | Statement: [Schmidt Hammer Lassen Architects, notableWork, Dokk1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dokk1 Context triple: [Schmidt Hammer Lassen Architects, notableWork, Dokk1]
-
A.
Dokk1
chosen
Dokk1 is a large modern public library and cultural center on Aarhus’s waterfront, known as one of the city’s key architectural and civic landmarks.
-
B.
Dok
Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
-
C.
DOK
DOK is the IATA airport code for Donetsk Sergey Prokofiev International Airport in eastern Ukraine.
-
D.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
E.
DOKOM
DOKOM is the radio callsign used by Flyadeal, a Saudi low-cost airline based in Jeddah.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa4d4ac8190922b919c15623963 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.