Triple
T16356380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swazi language |
E397190
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Swati |
E58238
|
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: Swati | Statement: [Swazi language, alternateName, Swati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swati Context triple: [Swazi language, alternateName, Swati]
-
A.
Swati
chosen
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
-
B.
Sarayu
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
-
C.
Ranganadi River
The Ranganadi River is a significant tributary of the Brahmaputra in northeastern India, flowing through Arunachal Pradesh and Assam and supporting irrigation, hydropower, and local ecosystems.
-
D.
Amravati
Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
-
E.
Indravati
Indravati is a significant river in central India that flows through states like Chhattisgarh and Odisha before joining the Godavari River.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facf67e0819089a23ce6f5642fbe |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004575157c819098dbf27cf6641ff4 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:07 a.m.