Triple
T12042167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachov District |
E286688
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Přimda
Přimda is a small historic town in the Plzeň Region of the Czech Republic, known for the ruins of one of the country’s oldest stone castles on a nearby hill.
|
E961878
|
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: Přimda | Statement: [Tachov District, contains, Přimda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Přimda Context triple: [Tachov District, contains, Přimda]
-
A.
Puruhá
The Puruhá are an Indigenous people of the central Andean region of Ecuador, known for their rich pre-Inca cultural heritage, traditional agriculture, and enduring Kichwa-based language and customs.
-
B.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
C.
Cimla
Cimla is a residential suburb and community situated near the town of Neath in Neath Port Talbot, South Wales.
-
D.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
-
E.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
- 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: Přimda Triple: [Tachov District, contains, Přimda]
Generated description
Přimda is a small historic town in the Plzeň Region of the Czech Republic, known for the ruins of one of the country’s oldest stone castles on a nearby hill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Přimda Target entity description: Přimda is a small historic town in the Plzeň Region of the Czech Republic, known for the ruins of one of the country’s oldest stone castles on a nearby hill.
-
A.
Puruhá
The Puruhá are an Indigenous people of the central Andean region of Ecuador, known for their rich pre-Inca cultural heritage, traditional agriculture, and enduring Kichwa-based language and customs.
-
B.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
C.
Cimla
Cimla is a residential suburb and community situated near the town of Neath in Neath Port Talbot, South Wales.
-
D.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
-
E.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.