Triple
T14675156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oudekerksbrug |
E344616
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Centrum |
E758649
|
NE 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: Centrum | Statement: [Oudekerksbrug, district, Centrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centrum Context triple: [Oudekerksbrug, district, Centrum]
-
A.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
B.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
C.
Centrum
chosen
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
D.
Innenstadt
Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
-
E.
Centrs
Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5666e648190b5faa07076f497b8 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17c24e0819089dd9606298f5ac9 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.