Triple
T7541502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djurgårdens IF |
E178284
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | AIK |
E331638
|
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: AIK | Statement: [Djurgårdens IF, hasRival, AIK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIK Context triple: [Djurgårdens IF, hasRival, AIK]
-
A.
AIK IF
chosen
AIK IF is a Swedish ice hockey club based in Stockholm, known as one of the country’s most prominent and historic teams.
-
B.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
-
C.
AIU
AIU (Association of Indian Universities) is a national organization in India that represents and coordinates the activities of universities, promoting higher education standards and inter-university collaboration.
-
D.
AICUM
AICUM is an academic or research-related organization associated with George Washington University.
-
E.
AICUM
AICUM is a nonprofit advocacy organization representing the interests of private, independent colleges and universities in Massachusetts.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f18e4dc81909ecd73b2b06b8d9c |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.