Triple
T5620212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szczecin-Goleniów Airport |
E147581
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Goleniów
Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
|
E640057
|
NE FINISHED |
How this triple was built (4 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: Goleniów | Statement: [Szczecin-Goleniów Airport, locatedIn, Goleniów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goleniów Context triple: [Szczecin-Goleniów Airport, locatedIn, Goleniów]
-
A.
Zułowo
Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
-
B.
Oleśnica
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
C.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
-
D.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
E.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Goleniów Triple: [Szczecin-Goleniów Airport, locatedIn, Goleniów]
Generated description
Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goleniów Target entity description: Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
-
A.
Zułowo
Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
-
B.
Oleśnica
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
C.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
-
D.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
E.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
- F. None of above. chosen
Provenance (5 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022108db8819098739510366adee1 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7941938a88190be049ad13c45f73f |
completed | March 28, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69c794c3df788190a1b9104d07f56c29 |
completed | March 28, 2026, 8:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795862b24819083db36a7f0f00ad4 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 22, 2026, 3:40 p.m.