Triple
T22680698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Station (Montreal) |
E560471
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | MTRL |
—
|
NE NERFINISHED |
How this triple was built (2 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: MTRL | Statement: [Central Station (Montreal), hasStationCode, MTRL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTRL Context triple: [Central Station (Montreal), hasStationCode, MTRL]
-
A.
MTRL
chosen
MTRL is the station code for Gare Centrale, a major central railway station.
-
B.
Mattertal
Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
-
C.
MTRX
MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
-
D.
Material Thangz
"Material Thangz" is an R&B/funk song by The Deele, known for its smooth groove and mid-1980s urban contemporary sound.
-
E.
Marber
Marber is a surname most notably associated with English playwright, screenwriter, and director Patrick Marber.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786027648190972d1b0bbe81ed13 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.