Triple
T22277790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divoká Orlice |
E550650
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Nekoř
Nekoř is a small village in the Pardubice Region of the Czech Republic, known for its scenic setting near the Divoká Orlice River and the Pastviny Reservoir.
|
E1529000
|
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: Nekoř | Statement: [Divoká Orlice, nearbySettlement, Nekoř]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nekoř Context triple: [Divoká Orlice, nearbySettlement, Nekoř]
-
A.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
-
B.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
C.
Kisaan
Kisaan is an alternative name for the Kisan language, an indigenous Munda language spoken primarily by the Kisan people in parts of eastern India.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
- 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: Nekoř Triple: [Divoká Orlice, nearbySettlement, Nekoř]
Generated description
Nekoř is a small village in the Pardubice Region of the Czech Republic, known for its scenic setting near the Divoká Orlice River and the Pastviny Reservoir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nekoř Target entity description: Nekoř is a small village in the Pardubice Region of the Czech Republic, known for its scenic setting near the Divoká Orlice River and the Pastviny Reservoir.
-
A.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
-
B.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
C.
Kisaan
Kisaan is an alternative name for the Kisan language, an indigenous Munda language spoken primarily by the Kisan people in parts of eastern India.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea96948819081c1ae6c7b11ab62 |
completed | April 29, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abca612008190bcb1c38523223ed7 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0ac0d258d88190a73427e02373a4bc |
completed | May 18, 2026, 7:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ac1e9666c8190b183c069deaf487c |
completed | May 18, 2026, 7:38 a.m. |
Created at: April 16, 2026, 8:40 p.m.