Triple
T10701513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teplice nad Metují |
E252287
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Libná
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
|
E880241
|
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: Libná | Statement: [Teplice nad Metují, hasPart, Libná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libná Context triple: [Teplice nad Metují, hasPart, Libná]
-
A.
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.
-
B.
Lubja
Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
-
C.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
-
D.
Labná
Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
-
E.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
- 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: Libná Triple: [Teplice nad Metují, hasPart, Libná]
Generated description
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Libná Target entity description: Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
-
A.
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.
-
B.
Lubja
Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
-
C.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
-
D.
Labná
Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
-
E.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998f5cda081909932daa3c98f8b46 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69da625a1e8c8190b282e7a70bb7c876 |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 8, 2026, 9:12 p.m.