Triple
T5074214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lille Metro |
E114351
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Lomme depot |
E472572
|
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: Lomme depot | Statement: [Lille Metro, depot, Lomme depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lomme depot Context triple: [Lille Metro, depot, Lomme depot]
-
A.
Lomme
chosen
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
-
B.
Bümpliz depot
Bümpliz depot is a tram facility in the Bümpliz district of Bern used for housing, maintaining, and dispatching vehicles of the city’s tram network.
-
C.
Elliniko depot
Elliniko depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
-
D.
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
-
E.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb11b3f3c819089f09178f17940c5 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.