Triple
T3167644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartographic Services |
E66249
|
entity |
| Predicate | partOfHistoryOf |
P1451
|
FINISHED |
| Object | MapQuest |
E10977
|
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: MapQuest | Statement: [Cartographic Services, partOfHistoryOf, MapQuest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MapQuest Context triple: [Cartographic Services, partOfHistoryOf, MapQuest]
-
A.
MapQuest
chosen
MapQuest is an early online mapping and driving directions service that became one of the first widely used web-based navigation tools.
-
B.
Waze
Waze is a community-driven GPS navigation app that provides real-time traffic updates, route guidance, and incident reports from its users.
-
C.
Bing Maps
Bing Maps is Microsoft's web-based mapping and navigation service offering road maps, aerial imagery, directions, and location-based search.
-
D.
Maps Platform Maps Library
Maps Platform Maps Library is a JavaScript library from Google that lets developers embed and customize interactive Google Maps within their web applications.
-
E.
Maps Platform Web Services
Maps Platform Web Services is a suite of HTTP-based Google Maps APIs that let developers integrate mapping, routing, geocoding, and related location-based functionality into web and server 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6457acc8190b2b9acbd1cfcdb91 |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262049a38819091efe2a322275abd |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:06 p.m.