Triple
T13251085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara University |
E315529
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | AÜ |
E315529
|
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: AÜ | Statement: [Ankara University, hasAbbreviation, AÜ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AÜ Context triple: [Ankara University, hasAbbreviation, AÜ]
-
A.
AÜ
chosen
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
B.
AUN
AUN is a private American-style university located in Yola, Nigeria, known for its focus on liberal arts education, technology, and development.
-
C.
AUE
AUE is the station code for Aue (Sachs) railway station in Saxony, Germany.
-
D.
AUB
AUB is a specialist creative arts university in Bournemouth, England, offering practice-based courses in areas such as art, design, media, and performance.
-
E.
AUF
AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff393898819083bdf726466fcbe0 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.