Triple
T4980052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kismet |
E111860
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Kismet web UI |
E111860
|
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: Kismet web UI | Statement: [Kismet, hasComponent, Kismet web UI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kismet web UI Context triple: [Kismet, hasComponent, Kismet web UI]
-
A.
Kismet
chosen
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
-
B.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
-
C.
Kanmu
Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
-
D.
Kii Channel
The Kii Channel is a strait in western Japan that separates the islands of Honshu and Shikoku and links the Seto Inland Sea with the Pacific Ocean.
-
E.
Nepomuk
Nepomuk is a small historic town in the Plzeň Region of the Czech Republic, best known as the birthplace of Saint John of Nepomuk.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7251b7648190bbb0acf0b9148ae6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0f90048190998dad99555891c0 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.