Triple
T2247127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A86 autoroute |
E49528
|
entity |
| Predicate | tollAppliesTo |
P4065
|
FINISHED |
| Object | Duplex A86 tunnel |
E246940
|
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: Duplex A86 tunnel | Statement: [A86 autoroute, tollAppliesTo, Duplex A86 tunnel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duplex A86 tunnel Context triple: [A86 autoroute, tollAppliesTo, Duplex A86 tunnel]
-
A.
Duplex A86 tunnel
chosen
The Duplex A86 tunnel is a major double-deck road tunnel in the western suburbs of Paris, designed to complete the A86 ring road while minimizing surface impact.
-
B.
Tunnel No. 2
Tunnel No. 2 is one of New York City’s major water distribution tunnels that helps convey drinking water from upstate reservoirs to the city’s boroughs.
-
C.
Tunnel No. 1
Tunnel No. 1 is a major water-supply tunnel that forms part of New York City’s underground distribution system.
-
D.
Tunnel Log
Tunnel Log is a fallen giant sequoia in Sequoia National Park that has been hollowed to allow cars to drive through its trunk, making it a popular roadside attraction.
-
E.
Tenda road tunnel
The Tenda road tunnel is a major Alpine tunnel connecting France and Italy beneath the Col de Tende, facilitating cross-border road traffic through the Maritime Alps.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c1edd081909acbb8b1915ce0d6 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.