Triple
T8740151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malew Parish Church |
E207478
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Malew |
E557650
|
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: Malew | Statement: [Malew Parish Church, locatedIn, Malew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malew Context triple: [Malew Parish Church, locatedIn, Malew]
-
A.
Malew
chosen
Malew is a parish on the Isle of Man that includes the area around Ronaldsway and its airport.
-
B.
Osiek
Osiek is a small town in south-central Poland located within the administrative district of Staszów County in the Świętokrzyskie Voivodeship.
-
C.
Perekop
Perekop is a small settlement in northern Crimea historically known for its strategic location near the narrow land connection between the Crimean Peninsula and mainland Ukraine.
-
D.
Żory
Żory is a city in southern Poland known for its historical roots in the Silesian region and its mix of industrial and residential character.
-
E.
Malinska
Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88dc7ba88190865957c8d344fa00 |
completed | April 3, 2026, 9:31 a.m. |
Created at: March 30, 2026, 6:38 p.m.