Triple
T8362924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola |
E197052
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Rapido |
E718325
|
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: Rapido | Statement: [Ola, competitor, Rapido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapido Context triple: [Ola, competitor, Rapido]
-
A.
Rapido
chosen
Rapido is an Indian app-based bike taxi and logistics platform that offers affordable two-wheeler rides and deliveries in urban areas.
-
B.
Accelerando
Accelerando is a science fiction novel by Charles Stross that follows multiple generations of a family navigating the rapid approach and aftermath of a technological singularity.
-
C.
Fast Car
"Fast Car" is a critically acclaimed folk-rock song by American singer-songwriter Tracy Chapman that poignantly explores themes of poverty, hope, and escape.
-
D.
La Coche
La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
-
E.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc77cf2ac8190a1c5b618fd64da73 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.