Triple
T15147465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kileler uprising |
E361849
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Kileler |
E361849
|
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: Kileler | Statement: [Kileler uprising, location, Kileler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kileler Context triple: [Kileler uprising, location, Kileler]
-
A.
Kileler
chosen
Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
-
B.
Kile
Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
-
C.
Kuluin
Kuluin is a residential suburb on Queensland’s Sunshine Coast, located inland from Maroochydore and known for its family-friendly community and local schools.
-
D.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
E.
Kaul
Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff281848190a094bd697b19aaf3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.