Triple
T6974079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNISWA |
E161671
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UNISWA |
E161671
|
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: UNISWA | Statement: [UNISWA, shortName, UNISWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNISWA Context triple: [UNISWA, shortName, UNISWA]
-
A.
UNISWA
chosen
UNISWA is the commonly used acronym for the University of Swaziland, the national public university of Eswatini.
-
B.
UNIS
UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
-
C.
Universia
Universia is an Ibero-American university network and online platform that connects higher education institutions across Spanish- and Portuguese-speaking countries to promote collaboration, academic resources, and educational services.
-
D.
UNIL
UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
-
E.
University of Swabi
The University of Swabi is a public higher education institution located in Swabi, Khyber Pakhtunkhwa, Pakistan, offering a range of undergraduate and postgraduate programs across multiple disciplines.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3bda908190a10a91dc8d043ef1 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a6bbdc81908c96871f151db279 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.