Triple
T23266840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-5 motorway |
E588172
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | M-30 |
—
|
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: M-30 | Statement: [A-5 motorway, hasJunctionWith, M-30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-30 Context triple: [A-5 motorway, hasJunctionWith, M-30]
-
A.
M-30
chosen
M-30 is a major orbital ring road encircling central Madrid and serving as one of the city’s primary traffic arteries.
-
B.
M-300
M-300 is a regional road in the Community of Madrid, Spain, that connects several municipalities in the eastern part of the region.
-
C.
Certa Cito
Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
-
D.
Avenio
Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
-
E.
Mobilis
Mobilis is the integrated public transport fare network for the canton of Vaud in Switzerland, covering multiple operators and modes of transport under a unified ticketing system.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cd13b48190a9c282545a34f348 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:37 p.m.