Triple
T15322649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Park |
E366329
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | AAMI |
E300693
|
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: AAMI | Statement: [Football Park, sponsor, AAMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAMI Context triple: [Football Park, sponsor, AAMI]
-
A.
AAMI
chosen
AAMI is an Australian insurance company that provides car, home, and other personal insurance services.
-
B.
AAMS
AAMS is the abbreviation for the Association of African and Malagasy States, a regional organization that promoted political and economic cooperation among its member countries.
-
C.
AACC
AACC is a public community college in Anne Arundel County, Maryland, offering a wide range of associate degrees, certificates, and workforce training programs.
-
D.
AHPA
AHPA is a U.S. federal law that provides the primary legal framework for preventing, controlling, and eradicating animal diseases and pests to protect livestock, public health, and the economy.
-
E.
APHA
APHA is the UK government’s Animal and Plant Health Agency, responsible for safeguarding animal health, plant health, and animal welfare to protect public health and the environment.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd5ce0c819093c9a14de549dff6 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8aaef608190bd3ec9fdd215afbb |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.