Triple
T9832651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Rocket |
E239024
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object |
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
|
E824385
|
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: Movia | Statement: [Toronto Rocket, family, Movia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Movia Context triple: [Toronto Rocket, family, Movia]
-
A.
MIA Mover
The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
-
B.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
C.
Azuga
Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
-
D.
Marut
Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
-
E.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
- 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: Movia Triple: [Toronto Rocket, family, Movia]
Generated description
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Movia Target entity description: Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
A.
MIA Mover
The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
-
B.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
C.
Azuga
Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
-
D.
Marut
Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
-
E.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c448388190818e4cc5e3a42dfc |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6affc3c8190839a4db8f4271309 |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d772de00819089eed8be9f5ce3ce |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:32 p.m.