Triple
T17725728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N9 national route |
E442455
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | N9 |
—
|
NE NERFINISHED |
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: N9 | Statement: [N9 national route, roadNumber, N9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N9 Context triple: [N9 national route, roadNumber, N9]
-
A.
N9
chosen
N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
-
B.
N9
N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
-
C.
N90
N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
-
D.
N90
N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
-
E.
9N
9N is the designation for a New York State highway that runs along portions of the Hudson River and Lake George, serving communities in the eastern part of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47489c59c8190bbffefad20dc6346 |
completed | April 19, 2026, 6:22 a.m. |
Created at: April 10, 2026, 10:07 a.m.