Triple
T7495899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Joy Station |
E177126
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
MJY
MJY is the station code for Mount Joy railway station in Ontario, Canada, which serves GO Transit and VIA Rail passengers.
|
E668548
|
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: MJY | Statement: [Mount Joy Station, hasStationCode, MJY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MJY Context triple: [Mount Joy Station, hasStationCode, MJY]
-
A.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
B.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
-
C.
MJ
MJ is a Master of Jurisprudence graduate law degree designed for non-lawyers seeking advanced legal knowledge in a specific field.
-
D.
MY
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
-
E.
JM
JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
- 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: MJY Triple: [Mount Joy Station, hasStationCode, MJY]
Generated description
MJY is the station code for Mount Joy railway station in Ontario, Canada, which serves GO Transit and VIA Rail passengers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MJY Target entity description: MJY is the station code for Mount Joy railway station in Ontario, Canada, which serves GO Transit and VIA Rail passengers.
-
A.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
B.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
-
C.
MJ
MJ is a Master of Jurisprudence graduate law degree designed for non-lawyers seeking advanced legal knowledge in a specific field.
-
D.
MY
MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
-
E.
JM
JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:43 p.m.