Triple
T23030048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homansbyen |
E573431
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Sentrum |
—
|
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: Sentrum | Statement: [Homansbyen, hasNearbyArea, Sentrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentrum Context triple: [Homansbyen, hasNearbyArea, Sentrum]
-
A.
Sentrum
chosen
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
-
B.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
C.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
D.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
E.
Aure sentrum
Aure sentrum is the main village and commercial hub of the Sykkylven municipality in Møre og Romsdal county, Norway.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184803e908190b1e58545b9c3d587 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.