Triple
T10401169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maros River |
E245148
|
entity |
| Predicate | crossesCity |
P13729
|
FINISHED |
| Object | Deva |
E298963
|
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: Deva | Statement: [Maros River, crossesCity, Deva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deva Context triple: [Maros River, crossesCity, Deva]
-
A.
Deva
Deva is a prominent Indian film music composer best known for his prolific work in Tamil cinema during the 1990s and early 2000s.
-
B.
Deva
Deva is the Roman-era name for the ancient fortress and settlement that later became the modern English city of Chester.
-
C.
Deva
chosen
Deva is a city in western Romania known for its historic fortress and location near the Mureș River in Transylvania.
-
D.
Devi
Devi is the supreme goddess in Hinduism, embodying the divine feminine power (Shakti) in its many forms such as Durga, Parvati, Lakshmi, and Saraswati.
-
E.
Devan
Devan is an Indian actor known for his supporting and character roles in South Indian cinema, particularly Malayalam and Tamil films.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbd13c888190b3a79a9aacb5291e |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:07 p.m.