Triple
T1351860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghaghara |
E28899
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sarayu |
E69557
|
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: Sarayu | Statement: [Ghaghara, alsoKnownAs, Sarayu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarayu Context triple: [Ghaghara, alsoKnownAs, Sarayu]
-
A.
Sarayu
chosen
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
-
B.
Chandra River
The Chandra River is a glacially fed mountain river in the Lahaul region of Himachal Pradesh, India, that flows through high-altitude valleys before joining the Bhaga River to help form the Chenab.
-
C.
Amravati
Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
-
D.
Banganga River
The Banganga River is a smaller river in northern India that flows through the Himalayan foothills and joins the Beas River as one of its tributaries.
-
E.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26b1b4881908ae4b1b2c9b268a0 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d762bb0819092685731269e57c4 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 1, 2026, 7:56 p.m.