Triple
T6760191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Łukasiewicz |
E154570
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Chorkówka
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
|
E626866
|
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: Chorkówka | Statement: [Ignacy Łukasiewicz, deathPlace, Chorkówka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chorkówka Context triple: [Ignacy Łukasiewicz, deathPlace, Chorkówka]
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
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.
-
C.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
-
D.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
E.
Człuchów
Człuchów is a historic town in northern Poland known for its medieval Teutonic castle ruins and surrounding lakes.
- 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: Chorkówka Triple: [Ignacy Łukasiewicz, deathPlace, Chorkówka]
Generated description
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chorkówka Target entity description: Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
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.
-
C.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
-
D.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
E.
Człuchów
Człuchów is a historic town in northern Poland known for its medieval Teutonic castle ruins and surrounding lakes.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21143748190beaab2488971d65b |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748a267488190bc7c5da9503b78c9 |
completed | March 28, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c7494cec7c8190a208aa82a805b915 |
completed | March 28, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c749badd788190910398fe05e4a6bf |
completed | March 28, 2026, 3:23 a.m. |
Created at: March 27, 2026, 2:12 p.m.