Triple
T1886997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 1 |
E39985
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | MP 05 |
E206992
|
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: MP 05 | Statement: [Paris Métro Line 1, rollingStock, MP 05]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MP 05 Context triple: [Paris Métro Line 1, rollingStock, MP 05]
-
A.
MP 05
chosen
MP 05 is a rubber-tyred, fully automated train model used on the Paris Métro, notably on Line 1 and Line 14.
-
B.
MP 14
MP 14 is a modern rubber-tyred train model used on the Paris Métro, designed for improved energy efficiency, automation, and passenger comfort.
-
C.
MP 89
MP 89 is a rubber-tyred Paris Métro train model introduced in the 1990s, known for its modern design, automated operation on some lines, and improved passenger comfort and capacity.
-
D.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
E.
M55
M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb121a3cc81909c60ac65627142d1 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf63863881908efd8010db14b8a8 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.