Triple
T13875247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gliwice |
E333563
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Łabędy |
E95333
|
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: Łabędy | Statement: [Gliwice, hasDistrict, Łabędy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łabędy Context triple: [Gliwice, hasDistrict, Łabędy]
-
A.
Łabuńka
Łabuńka is a river in southeastern Poland that flows through the Lublin Voivodeship, including the area around the city of Zamość.
-
B.
Bumar-Łabędy
chosen
Bumar-Łabędy is a Polish defense manufacturer best known for producing armored vehicles and modernized main battle tanks.
-
C.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
D.
Dzierzążnia
Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
-
E.
Gubałówka
Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c109ac5c819090b2b7e43334f904 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:15 p.m.