Triple
T16290009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FMG Stadium Waikato |
E395493
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | FMG |
E1205209
|
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: FMG | Statement: [FMG Stadium Waikato, sponsor, FMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMG Context triple: [FMG Stadium Waikato, sponsor, FMG]
-
A.
FMG
chosen
FMG is a New Zealand-based rural services and insurance cooperative best known for providing insurance and financial products to farmers and the agricultural sector.
-
B.
FMG
FMG is the Faculty of Social and Behavioural Sciences at the University of Amsterdam, encompassing disciplines such as psychology, sociology, political science, and communication science.
-
C.
FMC
The FMC is an independent U.S. federal agency that regulates international ocean transportation to ensure a competitive and reliable maritime shipping system.
-
D.
FMC
FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
-
E.
FMA
FMA is an acronym commonly used for Fault Management Architecture, a system framework for detecting, diagnosing, and resolving hardware and software faults in computing environments.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fd56008190a9cb896e7ea2d26a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.