Triple
T15576010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandex |
E374370
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Yandex Maps |
E1099463
|
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: Yandex Maps | Statement: [Yandex, notableProduct, Yandex Maps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yandex Maps Context triple: [Yandex, notableProduct, Yandex Maps]
-
A.
Yandex Maps
chosen
Yandex Maps is a Russian online mapping and navigation service offering detailed maps, satellite imagery, route planning, and real-time traffic information across numerous regions.
-
B.
Baidu Maps
Baidu Maps is a Chinese web mapping and navigation service offering detailed maps, real-time traffic, and location-based services primarily for users in China.
-
C.
Nokia HERE Maps
Nokia HERE Maps is a mapping and navigation service offering offline maps, turn-by-turn directions, and location-based features across multiple devices and platforms.
-
D.
Google Maps
Google Maps is a web-based mapping and navigation service by Google that provides detailed maps, real-time GPS navigation, traffic conditions, and location search worldwide.
-
E.
MapKit
MapKit is an Apple framework that enables developers to embed interactive maps and location-based features into their iOS, macOS, watchOS, and tvOS applications.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.