Triple
T7427144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia national soccer team |
E171396
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | AUS |
E515829
|
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: AUS | Statement: [Australia national soccer team, fifaCode, AUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUS Context triple: [Australia national soccer team, fifaCode, AUS]
-
A.
AUS
chosen
AUS is the three-letter IATA airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
-
B.
AU
AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
-
C.
AU
Aarhus University (AU) is a major public research university in Aarhus, Denmark, known for its broad range of academic programs and strong international profile.
-
D.
AU
AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
-
E.
Aust
Aust is a small village in South Gloucestershire, England, situated near the Severn Estuary and known historically for its ferry crossing and proximity to the Severn Bridge.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277f749c8190a91f620c71c48433 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.