Triple
T12042187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachov District |
E286688
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Milíře
Milíře is a small municipality and village in the Plzeň Region of the Czech Republic.
|
E961884
|
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: Milíře | Statement: [Tachov District, contains, Milíře]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milíře Context triple: [Tachov District, contains, Milíře]
-
A.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
B.
Mže
Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
-
C.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
D.
Mille
Mille is a French surname most notably borne by individuals such as Stéphane Mille.
-
E.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
- 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: Milíře Triple: [Tachov District, contains, Milíře]
Generated description
Milíře is a small municipality and village in the Plzeň Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milíře Target entity description: Milíře is a small municipality and village in the Plzeň Region of the Czech Republic.
-
A.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
B.
Mže
Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
-
C.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
D.
Mille
Mille is a French surname most notably borne by individuals such as Stéphane Mille.
-
E.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
- 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.