Triple
T14145507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place Masséna |
E350537
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Nice tramway Line 1 |
E70468
|
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: Nice tramway Line 1 | Statement: [Place Masséna, hasTransportConnection, Nice tramway Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice tramway Line 1 Context triple: [Place Masséna, hasTransportConnection, Nice tramway Line 1]
-
A.
Nice tramway Line 1
chosen
Nice tramway Line 1 is a major light rail route in Nice, France, forming part of the city’s primary public transport network and linking key central districts and landmarks.
-
B.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
C.
Nice tramway Line 2
Nice tramway Line 2 is a modern light rail line in Nice, France, connecting the city center with the airport and western districts as part of the urban public transport network.
-
D.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
E.
Tram 14
Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:53 a.m.