Triple
T19519679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal police |
E488370
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SPVM
SPVM is the French acronym for the Service de police de la Ville de Montréal, the municipal police force serving the city of Montreal, Canada.
|
E1379783
|
NE FINISHED |
How this triple was built (4 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: SPVM | Statement: [Montreal police, shortName, SPVM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPVM Context triple: [Montreal police, shortName, SPVM]
-
A.
SMV
SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
-
B.
SMV
SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
-
C.
SPMVV
SPMVV is a women’s university located in Tirupati, Andhra Pradesh, India, offering higher education and research programs across various disciplines.
-
D.
SPIM
SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
-
E.
PVSM
The Param Vishisht Seva Medal (PVSM) is one of India’s highest military decorations awarded for distinguished service of the most exceptional order to all ranks of the armed forces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SPVM Triple: [Montreal police, shortName, SPVM]
Generated description
SPVM is the French acronym for the Service de police de la Ville de Montréal, the municipal police force serving the city of Montreal, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SPVM Target entity description: SPVM is the French acronym for the Service de police de la Ville de Montréal, the municipal police force serving the city of Montreal, Canada.
-
A.
SMV
SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
-
B.
SMV
SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
-
C.
SPMVV
SPMVV is a women’s university located in Tirupati, Andhra Pradesh, India, offering higher education and research programs across various disciplines.
-
D.
SPIM
SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
-
E.
PVSM
The Param Vishisht Seva Medal (PVSM) is one of India’s highest military decorations awarded for distinguished service of the most exceptional order to all ranks of the armed forces.
- F. None of above. chosen
Provenance (5 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359edd508190afd68739de676ed7 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074728f7548190a6a8e1888e8c8180 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07483465008190966296ddca76e7d2 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074931b1dc8190804d545e2058a69a |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.