Triple
T11111551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marymont metro station |
E262767
|
entity |
| Predicate | lineDesignation |
P5539
|
FINISHED |
| Object | M1 |
E262760
|
NE FINISHED |
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: M1 | Statement: [Marymont metro station, lineDesignation, M1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M1 Context triple: [Marymont metro station, lineDesignation, M1]
-
A.
M1
chosen
M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
-
B.
M1
M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
-
C.
M1
M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
-
D.
M1
M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
-
E.
M1
M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa42ec4819085a2e802e00d9f02 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4833c0fdc8190935ae33eefae8e0c |
completed | April 19, 2026, 7:24 a.m. |
Created at: April 8, 2026, 9:27 p.m.