Triple
T8723157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alle River |
E207060
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Alle |
E450741
|
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: Alle | Statement: [Alle River, hasAlternativeSpelling, Alle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alle Context triple: [Alle River, hasAlternativeSpelling, Alle]
-
A.
Alle
chosen
Alle is a municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
B.
Everybody
"Everybody" is a philosophical logic text by Raymond Smullyan that playfully explores concepts like self-reference, truth, and provability through puzzles and dialogues.
-
C.
Gal
Gal is the first name of Israeli actress and model Gal Gadot, internationally known for portraying Wonder Woman in the DC Extended Universe films.
-
D.
Kids
"Kids" is a pop duet by Robbie Williams and Kylie Minogue, released in 2000 and known for its playful lyrics and energetic production.
-
E.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0791208190b043332247372d7b |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.