Triple
T3146059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss National League |
E65765
|
entity |
| Predicate | hasNotableClub |
P8182
|
FINISHED |
| Object | HC Ajoie |
E107394
|
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: HC Ajoie | Statement: [Swiss National League, hasNotableClub, HC Ajoie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HC Ajoie Context triple: [Swiss National League, hasNotableClub, HC Ajoie]
-
A.
A’ja
A’ja is the given name of A’ja Wilson, a prominent American professional basketball player and WNBA star.
-
B.
Ajoie
chosen
Ajoie is a traditional rural region in the northwest of the Swiss canton of Jura, known for its agricultural landscape, historic villages, and distinct local culture.
-
C.
Adoian
Adoian is the original Armenian surname of the influential abstract expressionist painter Arshile Gorky.
-
D.
Ito Aghayere
Ito Aghayere is a Nigerian-Canadian actress known for her work in television, film, and theater, including portraying Guinan in the Star Trek franchise.
-
E.
Ajah
Ajah is a rapidly developing residential and commercial suburb located in the Lekki axis of Lagos, Nigeria.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.