Triple
T21070857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handen district |
E519102
|
entity |
| Predicate | hasShoppingCenter |
P1495
|
FINISHED |
| Object | Haninge Centrum |
—
|
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: Haninge Centrum | Statement: [Handen district, hasShoppingCenter, Haninge Centrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haninge Centrum Context triple: [Handen district, hasShoppingCenter, Haninge Centrum]
-
A.
Haninge Centrum
chosen
Haninge Centrum is a major shopping mall and commercial hub located in the Handen district of Haninge Municipality in the Stockholm area of Sweden.
-
B.
Adlershof
Adlershof is a district in Berlin, Germany, known as a major science, technology, and media hub featuring research institutes, universities, and high-tech companies.
-
C.
Stadelhofen
Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
D.
Haninge Municipality
Haninge Municipality is a local government area in east-central Sweden that forms part of the greater Stockholm metropolitan region.
-
E.
Adlersruhe
Adlersruhe is a high-altitude spot on Austria’s Grossglockner often used as a staging point for climbers ascending the mountain.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb8ed4481909c9f804ccd8da3e2 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:46 p.m.