Triple
T15499183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Széchenyi Hill |
E378903
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Normafa |
E360033
|
NE FINISHED |
How this triple was built (2 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: [Széchenyi Hill, near, Normafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normafa Context triple: [Széchenyi Hill, near, Normafa]
-
A.
Normafa
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
E.
al-Nawādir
al-Nawādir is a classical Arabic linguistic work by the grammarian Al-Farrāʾ, known for its collection of rare expressions and grammatical observations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4a9bf88190b7c6b4874abe165f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:53 a.m.