Triple
T18275508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BK Häcken |
E437723
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | GAIS |
—
|
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: GAIS | Statement: [BK Häcken, rival, GAIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAIS Context triple: [BK Häcken, rival, GAIS]
-
A.
GAIS
chosen
GAIS is a Swedish sports club from Gothenburg best known for its professional football team competing in the national league system.
-
B.
GAISh
GAISh is the commonly used abbreviation for the Sternberg Astronomical Institute, a major astronomical research and education center in Moscow, Russia.
-
C.
Gais
Gais is a picturesque Swiss village and municipality in the hilly, rural canton of Appenzell Ausserrhoden, known for its traditional architecture and scenic alpine surroundings.
-
D.
GAU
GAU is the abbreviation for the Main Artillery Directorate, the former central authority overseeing artillery and armaments in the Soviet (and earlier Russian) military.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.