Triple
T804938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Science LLC |
E17409
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Honey mobile app |
E17409
|
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: Honey mobile app | Statement: [Honey Science LLC, product, Honey mobile app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey mobile app Context triple: [Honey Science LLC, product, Honey mobile app]
-
A.
Honey Science LLC
chosen
Honey Science LLC is a technology company best known for its browser extension that automatically finds and applies online shopping coupon codes and discounts.
-
B.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
-
C.
Honey, Honey
"Honey, Honey" is a catchy pop song by the Swedish group ABBA, featured prominently in the musical and film adaptation of *Mamma Mia!* as one of its early ensemble numbers.
-
D.
Honeycomb
"Honeycomb" is a popular 1957 pop song recorded by American singer Jimmie Rodgers that became one of his signature hits.
-
E.
Bee Network
Bee Network is Greater Manchester’s integrated public transport system brand, unifying buses, trams, cycling and walking under a single, coordinated network.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68926c04081908923a7d114d1842d |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.