Triple
T5248798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneta |
E118528
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object | Geneta centrum |
E118528
|
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: Geneta centrum | Statement: [Geneta, hasShoppingCentre, Geneta centrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geneta centrum Context triple: [Geneta, hasShoppingCentre, Geneta centrum]
-
A.
Geneta
chosen
Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
-
B.
Centrs
Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
-
C.
Centrale
Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
-
D.
Centrale
Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
-
E.
Geno
Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef83998f881909fef2746f5c496af |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:50 p.m.