Triple
T7184455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Po River basin |
E167533
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object | Adda |
E104512
|
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: Adda | Statement: [Po River basin, majorTributary, Adda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adda Context triple: [Po River basin, majorTributary, Adda]
-
A.
Adda
chosen
The Adda is a major river in northern Italy that flows through the Lombardy region and contributes significantly to the water system of the Po basin.
-
B.
Bonda
Bonda is an archaeological site associated with the pre-Columbian Tairona culture in northern Colombia.
-
C.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
D.
Baddo
Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
-
E.
Baddo
Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.