Triple
T15364137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniFI |
E367365
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UniFI |
E367365
|
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: UniFI | Statement: [UniFI, shortName, UniFI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UniFI Context triple: [UniFI, shortName, UniFI]
-
A.
UniFI
chosen
UniFI is the commonly used abbreviation for the University of Florence, a major public research university in Florence, Italy.
-
B.
Ubiquiti Networks
Ubiquiti Networks is a technology company that designs and manufactures networking and wireless communication products for service providers and enterprises worldwide.
-
C.
WiFS
WiFS is a wide-field imaging sensor used on Indian Remote Sensing satellites to capture moderate-resolution, large-area Earth observation data for applications like agriculture and land-use monitoring.
-
D.
VoWiFi
VoWiFi (Voice over Wi-Fi) is a technology that allows mobile voice calls and texts to be carried over Wi-Fi networks instead of traditional cellular networks, improving indoor coverage and call quality.
-
E.
Cisco Meraki
Cisco Meraki is a cloud-managed IT platform that provides centralized management for wireless, switching, security, and other network devices.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4cc39c81908a0aff959352f6d5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.