Triple
T15132126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Merchant Center |
E361444
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Google Business Profile |
E72250
|
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: Google Business Profile | Statement: [Google Merchant Center, integratesWith, Google Business Profile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Business Profile Context triple: [Google Merchant Center, integratesWith, Google Business Profile]
-
A.
Google My Business
chosen
Google My Business is a free tool from Google that lets businesses manage how their information appears across Google services, including Search and Maps, to improve visibility and customer engagement.
-
B.
GMB
GMB is the three-letter ISO 3166-1 alpha-3 country code assigned to The Gambia.
-
C.
GMB
GMB is the National Rail station code assigned to Grimsby Town railway station in Lincolnshire, England.
-
D.
GMB
GMB is a British weekday morning television news and talk show broadcast on ITV, featuring news, interviews, and entertainment segments.
-
E.
Bluepages
Bluepages is the introductory section of The Bluebook that provides simplified legal citation rules tailored for practitioners, students, and non-academic legal writing.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.