Triple
T16232158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusle Valley |
E394009
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nusle |
E1201026
|
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: Nusle | Statement: [Nusle Valley, namedAfter, Nusle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusle Context triple: [Nusle Valley, namedAfter, Nusle]
-
A.
Nusle
chosen
Nusle is a district of Prague known for its large valley spanned by the iconic Nusle Bridge and its mix of residential, commercial, and historical urban areas.
-
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.
Nuklo
Nuklo is a Marvel Comics superhuman character known as the radioactive, energy-emitting son of the speedster Whizzer.
-
D.
Nednai
Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
-
E.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2b0cc48190853919135d5a172a |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed71f488190bcdc2dcc74e5c5d3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.