Triple
T3782448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Metro |
E85450
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
MR-73
MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
|
E387552
|
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: MR-73 | Statement: [Montreal Metro, rollingStock, MR-73]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MR-73 Context triple: [Montreal Metro, rollingStock, MR-73]
-
A.
M-77
M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
-
B.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
-
C.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
-
D.
M-97
M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
-
E.
M73
M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
- 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: MR-73 Triple: [Montreal Metro, rollingStock, MR-73]
Generated description
MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MR-73 Target entity description: MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
-
A.
M-77
M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
-
B.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
-
C.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
-
D.
M-97
M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
-
E.
M73
M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3db11108190aa81ee8ed22709fe |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04353a881908e612a10572eb8c5 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f0e77efc8190b4459d4559261a2f |
completed | March 14, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f15cfde88190bcb2680b90f98111 |
completed | March 14, 2026, 5:25 a.m. |
Created at: March 9, 2026, 3:13 p.m.