Triple
T10827939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStreetMap |
E255539
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Foursquare |
E236192
|
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: Foursquare | Statement: [OpenStreetMap, usedBy, Foursquare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foursquare Context triple: [OpenStreetMap, usedBy, Foursquare]
-
A.
Foursquare
chosen
Foursquare is a location-based technology company best known for its mobile apps and platform that let users discover places, check in, and power location intelligence for businesses.
-
B.
Foursquare
Foursquare is a global Pentecostal Christian denomination known formally as the International Church of the Foursquare Gospel.
-
C.
American Foursquare
American Foursquare is a popular early-20th-century American residential architectural style characterized by a simple boxy form, two-and-a-half stories, a hipped roof, and a large front porch.
-
D.
Square, Inc.
Square, Inc. is a financial technology company best known for its mobile payment solutions and point-of-sale systems that enable businesses to accept electronic payments easily.
-
E.
Groupon
Groupon is an American e-commerce marketplace that connects subscribers with local merchants by offering discounted deals on activities, goods, and services.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d2b9f88190b79a7b168d7836c8 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.