Triple
T4376932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFK Göteborg |
E99028
|
entity |
| Predicate | stadiumSharedWith |
P1749
|
FINISHED |
| Object | GAIS |
E99029
|
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: GAIS | Statement: [IFK Göteborg, stadiumSharedWith, GAIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAIS Context triple: [IFK Göteborg, stadiumSharedWith, 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.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
C.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
D.
Gai
Gai is a given name and variant of "Guy," used in various cultures as a masculine personal name.
-
E.
Gae
Gae is the given name of Gae Aulenti, a renowned Italian architect and designer known for her innovative museum and interior designs.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5e210108190bf14731ce3774b6b |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:18 p.m.