Triple
T4191655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleven Cities Tour |
E89049
|
entity |
| Predicate | cityOnRoute |
P3207
|
FINISHED |
| Object | Sloten |
E373871
|
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: Sloten | Statement: [Eleven Cities Tour, cityOnRoute, Sloten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloten Context triple: [Eleven Cities Tour, cityOnRoute, Sloten]
-
A.
Sloten
chosen
Sloten is a historic village now incorporated into the city of Amsterdam in the Netherlands, known for its old windmill and traditional Dutch character.
-
B.
Slotin
Slotin is the surname of Louis Slotin, a Canadian physicist known for his work on the Manhattan Project and his fatal criticality accident.
-
C.
Skakel
Skakel is an American family name notably associated with the wealthy Skakel family of Connecticut, relatives of the Kennedy family through Ethel Kennedy.
-
D.
Gevangenpoort
Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
-
E.
LOTS
LOTS is the stock ticker symbol for Lotus Development Corporation, a pioneering software company best known for its Lotus 1-2-3 spreadsheet application.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0b2db368819080c1d652b4acfd0c |
completed | March 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a08bb6881909bdd7643626e1a64 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.