Triple
T16199704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line B (Prague Metro) |
E393164
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Anděl
Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
|
E1198644
|
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: Anděl | Statement: [Line B (Prague Metro), servesStation, Anděl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anděl Context triple: [Line B (Prague Metro), servesStation, Anděl]
-
A.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
-
B.
Artangel
Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
-
C.
El Ángel
El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
-
D.
Angeliké
Angeliké is a variant spelling of the given name Angélique, a feminine name of French origin derived from the word for "angelic."
-
E.
Archangel
Archangel is a virtual reality mech combat game developed by Skydance Interactive, featuring story-driven missions and large-scale mechanized warfare.
- 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: Anděl Triple: [Line B (Prague Metro), servesStation, Anděl]
Generated description
Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anděl Target entity description: Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
-
A.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
-
B.
Artangel
Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
-
C.
El Ángel
El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
-
D.
Angeliké
Angeliké is a variant spelling of the given name Angélique, a feminine name of French origin derived from the word for "angelic."
-
E.
Archangel
Archangel is a virtual reality mech combat game developed by Skydance Interactive, featuring story-driven missions and large-scale mechanized warfare.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff1107908190afda091b53317d81 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00014d982881908dcb9a0abd75a1e2 |
completed | May 10, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00021e42ec8190af9869b7f8be3ce5 |
completed | May 10, 2026, 3:57 a.m. |
Created at: April 10, 2026, 5:03 a.m.