Triple
T19828515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Łódź Voivodeship (1975–1998) |
E476392
|
entity |
| Predicate | containedCity |
P8465
|
FINISHED |
| Object |
Opoczno
Opoczno is a historic town in central Poland known for its ceramics industry and location in the Łódź region.
|
E1397207
|
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: Opoczno | Statement: [former Łódź Voivodeship (1975–1998), containedCity, Opoczno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opoczno Context triple: [former Łódź Voivodeship (1975–1998), containedCity, Opoczno]
-
A.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
-
B.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
C.
Ustroń
Ustroń is a spa town in southern Poland’s Silesian Beskids, known for its health resorts, mountain tourism, and role as a gateway to popular hiking routes.
-
D.
Opole Lubelskie
Opole Lubelskie is a small town in eastern Poland known for its agricultural surroundings and location within the Lublin region.
-
E.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
- 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: Opoczno Triple: [former Łódź Voivodeship (1975–1998), containedCity, Opoczno]
Generated description
Opoczno is a historic town in central Poland known for its ceramics industry and location in the Łódź region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opoczno Target entity description: Opoczno is a historic town in central Poland known for its ceramics industry and location in the Łódź region.
-
A.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
-
B.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
C.
Ustroń
Ustroń is a spa town in southern Poland’s Silesian Beskids, known for its health resorts, mountain tourism, and role as a gateway to popular hiking routes.
-
D.
Opole Lubelskie
Opole Lubelskie is a small town in eastern Poland known for its agricultural surroundings and location within the Lublin region.
-
E.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd5e2e08190a4a416ce2a3e7a36 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07d01d78c481908faff4cb29e1494e |
completed | May 16, 2026, 2:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d0d94c3881909ca241d22938637a |
completed | May 16, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:50 p.m.