Triple
T20382097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lääne-Harju Parish |
E497859
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object | Keila |
—
|
NE NERFINISHED |
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: Keila | Statement: [Lääne-Harju Parish, hasBorder, Keila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keila Context triple: [Lääne-Harju Parish, hasBorder, Keila]
-
A.
Keila
chosen
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
B.
Caila
Caila is an alternate given name associated with American actress and producer Marsai Martin.
-
C.
Korrina
Korrina is a Fighting-type Gym Leader from the Kalos region in the Pokémon series, known for her roller skates and partnership with the Mega-Evolving Lucario.
-
D.
Kaela
Kaela is the given name of American professional basketball player Kaela Davis.
-
E.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b0ee708190bdbe4aab28a61525 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.