Triple
T16925836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Police Department |
E410570
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object | K-9 unit |
E20999
|
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: K-9 unit | Statement: [Atlanta Police Department, hasUnit, K-9 unit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-9 unit Context triple: [Atlanta Police Department, hasUnit, K-9 unit]
-
A.
K-9 Unit
chosen
The K-9 Unit is a specialized police division that uses trained dogs to assist officers in tasks such as tracking suspects, detecting drugs or explosives, and conducting search and rescue operations.
-
B.
SWAT Unit
The SWAT Unit is a specialized tactical team within the Philadelphia Police Department trained and equipped to handle high-risk operations such as hostage rescues, armed standoffs, and counterterrorism missions.
-
C.
K-9
K-9 is a 1989 American buddy cop comedy film starring James Belushi as a detective partnered with a police dog to take down a drug dealer.
-
D.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
-
E.
Riot Police Unit
The Riot Police Unit is a specialized division of the Tokyo Metropolitan Police Department trained and equipped to handle large-scale public disturbances, protests, and emergency situations.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1ebdc8190b39a9469636de01e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd8a88c8190adda386b62fe543c |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.