Triple
T11750943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Alouettes |
E279400
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Als |
E279400
|
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: Als | Statement: [Montreal Alouettes, hasNickname, Als]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Als Context triple: [Montreal Alouettes, hasNickname, Als]
-
A.
Als
chosen
Als is the common nickname for the Montreal Alouettes, a professional Canadian Football League team based in Montreal, Quebec.
-
B.
Als
Als is a Danish island in the Baltic Sea known for its rolling countryside, coastal towns, and historical sites in the Region of Southern Denmark.
-
C.
Ale
Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
-
D.
Alen
Alen is a given name and surname used in various cultures, often considered a variant of the name Allen or Alan.
-
E.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090416334819084dc63d896c0c04a |
completed | April 28, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:41 p.m.