Triple
T10461504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jizera Mountains |
E246684
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Wysoka Kopa
Wysoka Kopa is a mountain peak in southwestern Poland that forms the highest summit of the Jizera Mountains.
|
E865079
|
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: Wysoka Kopa | Statement: [Jizera Mountains, highestPoint, Wysoka Kopa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wysoka Kopa Context triple: [Jizera Mountains, highestPoint, Wysoka Kopa]
-
A.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
B.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
C.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
D.
Klopas
Klopas is a Greek-American former professional soccer player and coach best known for his time with the Chicago Fire and the U.S. national team.
-
E.
Zátopek
Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
- 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: Wysoka Kopa Triple: [Jizera Mountains, highestPoint, Wysoka Kopa]
Generated description
Wysoka Kopa is a mountain peak in southwestern Poland that forms the highest summit of the Jizera Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wysoka Kopa Target entity description: Wysoka Kopa is a mountain peak in southwestern Poland that forms the highest summit of the Jizera Mountains.
-
A.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
B.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
C.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
D.
Klopas
Klopas is a Greek-American former professional soccer player and coach best known for his time with the Chicago Fire and the U.S. national team.
-
E.
Zátopek
Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50883b62c819082711b8c9fd968e3 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fcc84b48190a39de0d9b9111ebd |
completed | April 10, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: April 6, 2026, 12:19 p.m.