Triple
T10003265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTC Climate, Controls & Security |
E198177
|
entity |
| Predicate | brandOwned |
P6092
|
FINISHED |
| Object | Lenel |
E198190
|
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: Lenel | Statement: [UTC Climate, Controls & Security, brandOwned, Lenel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenel Context triple: [UTC Climate, Controls & Security, brandOwned, Lenel]
-
A.
LenelS2
chosen
LenelS2 is a security technology company specializing in advanced access control and video management systems for commercial and enterprise facilities.
-
B.
Verisure
Verisure is a leading European provider of professionally monitored home and business security alarm systems.
-
C.
Axiom security systems
Axiom Security Systems is a company that provides advanced security and access control solutions for protecting buildings, assets, and people.
-
D.
Tesira
Tesira is Biamp Systems’ networked audio and video platform known for scalable, DSP-based solutions in professional AV installations.
-
E.
Federal Signal Corporation
Federal Signal Corporation is an American company that designs and manufactures safety and security products, including emergency vehicle lighting and sirens, as well as industrial signaling and public safety equipment.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd12f6488190bd5257b5f65437cc |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a41e25881908c7d1e15daeffc44 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.