Triple
T16089466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line A (Prague Metro) |
E390322
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Motol
Motol is a district in western Prague known for its large hospital complex, residential areas, and proximity to parks and recreational facilities.
|
E1192848
|
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: Motol | Statement: [Line A (Prague Metro), hasStation, Motol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motol Context triple: [Line A (Prague Metro), hasStation, Motol]
-
A.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
B.
Motok
The Motok are an indigenous ethnic community of Upper Assam in northeastern India, known for their distinct cultural traditions and historical presence in the region.
-
C.
Moturiki
Moturiki is a small inhabited island in Fiji’s Lomaiviti archipelago, known for its coastal villages, traditional Fijian lifestyle, and surrounding coral reefs.
-
D.
Dinas Mot
Dinas Mot is a prominent rock formation in Snowdonia, Wales, renowned for its classic multi-pitch traditional climbing routes.
-
E.
Moturakau
Moturakau is a small, uninhabited islet in the Aitutaki Lagoon of the Cook Islands, known for its pristine beaches and turquoise waters.
- 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: Motol Triple: [Line A (Prague Metro), hasStation, Motol]
Generated description
Motol is a district in western Prague known for its large hospital complex, residential areas, and proximity to parks and recreational facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motol Target entity description: Motol is a district in western Prague known for its large hospital complex, residential areas, and proximity to parks and recreational facilities.
-
A.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
B.
Motok
The Motok are an indigenous ethnic community of Upper Assam in northeastern India, known for their distinct cultural traditions and historical presence in the region.
-
C.
Moturiki
Moturiki is a small inhabited island in Fiji’s Lomaiviti archipelago, known for its coastal villages, traditional Fijian lifestyle, and surrounding coral reefs.
-
D.
Dinas Mot
Dinas Mot is a prominent rock formation in Snowdonia, Wales, renowned for its classic multi-pitch traditional climbing routes.
-
E.
Moturakau
Moturakau is a small, uninhabited islet in the Aitutaki Lagoon of the Cook Islands, known for its pristine beaches and turquoise waters.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1845161908190adca2af94710b2cc |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:59 a.m.