Triple
T694647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Société de transport de Montréal |
E13868
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
|
E85453
|
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: STM | Statement: [Société de transport de Montréal, shortName, STM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STM Context triple: [Société de transport de Montréal, shortName, STM]
-
A.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
B.
STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
-
C.
NST
NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
-
D.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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: STM Triple: [Société de transport de Montréal, shortName, STM]
Generated description
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STM Target entity description: STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
A.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
B.
STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
-
C.
NST
NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
-
D.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca9aa9c8190a113e782988aa7f8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5e70510908190bcbd1c46629d05f5 |
completed | March 2, 2026, 7:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a60989aac08190a324c8d9889086f5 |
completed | March 2, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:36 p.m.