Triple
T3447589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buda Hills |
E72713
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Normafa
Normafa is a popular recreational and lookout area in Budapest’s Buda Hills, known for its panoramic city views, hiking trails, and outdoor leisure activities.
|
E360033
|
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: Normafa | Statement: [Buda Hills, contains, Normafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normafa Context triple: [Buda Hills, contains, Normafa]
-
A.
Nuffar
Nuffar is the modern name for the archaeological mound that marks the site of the ancient Sumerian city of Nippur in present-day Iraq.
-
B.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
C.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
D.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
E.
Falasha
Falasha is a historical term, now often considered pejorative, that was used to refer to the Beta Israel community of Ethiopian Jews.
- 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: Normafa Triple: [Buda Hills, contains, Normafa]
Generated description
Normafa is a popular recreational and lookout area in Budapest’s Buda Hills, known for its panoramic city views, hiking trails, and outdoor leisure activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Normafa Target entity description: Normafa is a popular recreational and lookout area in Budapest’s Buda Hills, known for its panoramic city views, hiking trails, and outdoor leisure activities.
-
A.
Nuffar
Nuffar is the modern name for the archaeological mound that marks the site of the ancient Sumerian city of Nippur in present-day Iraq.
-
B.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
C.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
D.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
E.
Falasha
Falasha is a historical term, now often considered pejorative, that was used to refer to the Beta Israel community of Ethiopian Jews.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba705d988190b76d905751a337ee |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360e781a88190a4df2909f32c62ab |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b3618726b08190905a2c93335eede2 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362586a008190b0d54e5cb38845e3 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.