Triple
T11870058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bostancı |
E282382
|
entity |
| Predicate | hasRoadAccessVia |
P4067
|
FINISHED |
| Object | D-100 highway |
E663163
|
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: D-100 highway | Statement: [Bostancı, hasRoadAccessVia, D-100 highway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D-100 highway Context triple: [Bostancı, hasRoadAccessVia, D-100 highway]
-
A.
D100 highway
chosen
The D100 highway is a major east–west state road in Turkey that runs through key cities including İzmit, serving as an important intercity and regional transport route.
-
B.
M-41 Highway
M-41 Highway is a major high-altitude road through Central Asia’s Pamir Mountains, renowned as one of the world’s most remote and scenic driving routes.
-
C.
C-16 highway
The C-16 highway is a major road in Catalonia, Spain, that forms part of the E-9 corridor and connects inland cities such as Manresa with Barcelona and the Pyrenees.
-
D.
D605 highway
The D605 highway is a major Turkish road that runs through Kocaeli Province, connecting local towns and facilitating regional transportation.
-
E.
M10 highway
The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73c04e4819084c0b2ff8e5d2f04 |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e94b6008190ae19c245c4c62b5e |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:43 p.m.