Triple
T23415672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasanuddin University |
E560198
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Unhas |
—
|
NE NERFINISHED |
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: Unhas | Statement: [Hasanuddin University, abbreviation, Unhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unhas Context triple: [Hasanuddin University, abbreviation, Unhas]
-
A.
Unhas
chosen
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
-
B.
Unas
Unas was the last pharaoh of Egypt’s Fifth Dynasty, best known for being the first ruler to inscribe the Pyramid Texts in his burial monument at Saqqara.
-
C.
Hairenik
Hairenik is a long-running Armenian-language newspaper historically associated with the Armenian Revolutionary Federation and the Armenian diaspora.
-
D.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
-
E.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a515fe048190adefdefaeff76cfd |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.