Triple
T20537044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawa County |
E504226
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Konopnica
Konopnica is a village located in Rawa County in central Poland.
|
E1437387
|
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: Konopnica | Statement: [Rawa County, hasSettlement, Konopnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konopnica Context triple: [Rawa County, hasSettlement, Konopnica]
-
A.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
B.
Zaklopatica
Zaklopatica is a small coastal village on the Croatian island of Lastovo, known for its sheltered bay, fishing tradition, and appeal to sailors and tourists.
-
C.
Kocian
Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
-
D.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
E.
Glavinitsa
Glavinitsa is a small town in northeastern Bulgaria, known as an administrative center in the Silistra Province.
- 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: Konopnica Triple: [Rawa County, hasSettlement, Konopnica]
Generated description
Konopnica is a village located in Rawa County in central Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konopnica Target entity description: Konopnica is a village located in Rawa County in central Poland.
-
A.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
B.
Zaklopatica
Zaklopatica is a small coastal village on the Croatian island of Lastovo, known for its sheltered bay, fishing tradition, and appeal to sailors and tourists.
-
C.
Kocian
Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
-
D.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
E.
Glavinitsa
Glavinitsa is a small town in northeastern Bulgaria, known as an administrative center in the Silistra Province.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a28f2f1081908f656d790ff182ff |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a566091c81908f545c6ffac06246 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a6fabbf4819081702969a53b2076 |
completed | May 16, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a779983881909f1c0354e2054634 |
completed | May 16, 2026, 5:20 p.m. |
Created at: April 16, 2026, 11:37 a.m.