Triple
T15208581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power |
E363452
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | AU |
E974947
|
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: AU | Statement: [Power, countryCode, AU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AU Context triple: [Power, countryCode, AU]
-
A.
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.
-
B.
AU
AU is a German vehicle registration code used on license plates to identify cars registered in the Erzgebirgskreis district of Saxony.
-
C.
AU
AU is the Exeter University Athletic Union, the organization that oversees and supports student sports clubs and athletic activities at the University of Exeter.
-
D.
AU
AU is the commonly used abbreviation for Allen University, a historically Black university located in Columbia, South Carolina.
-
E.
AU
chosen
AU is the ISO 3166-1 alpha-2 country code for Australia, a large island nation and continent in the Southern Hemisphere.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33dbda08190a10ba81082d0d183 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.